From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-10.3 required=3.0 tests=BAYES_00, HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING, SPF_HELO_NONE,SPF_PASS,URIBL_BLOCKED,USER_AGENT_SANE_1 autolearn=unavailable autolearn_force=no version=3.4.0 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id C86CCC4338F for ; Fri, 30 Jul 2021 14:20:10 +0000 (UTC) Received: from gabe.freedesktop.org (gabe.freedesktop.org [131.252.210.177]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (No client certificate requested) by mail.kernel.org (Postfix) with ESMTPS id 901C560720 for ; Fri, 30 Jul 2021 14:20:10 +0000 (UTC) DMARC-Filter: OpenDMARC Filter v1.4.1 mail.kernel.org 901C560720 Authentication-Results: mail.kernel.org; dmarc=fail (p=none dis=none) header.from=intel.com Authentication-Results: mail.kernel.org; spf=none smtp.mailfrom=lists.freedesktop.org Received: from gabe.freedesktop.org (localhost [127.0.0.1]) by gabe.freedesktop.org (Postfix) with ESMTP id 2F96A6F45D; Fri, 30 Jul 2021 14:20:02 +0000 (UTC) Received: from mga12.intel.com (mga12.intel.com [192.55.52.136]) by gabe.freedesktop.org (Postfix) with ESMTPS id F1CDD6E2BC; Fri, 30 Jul 2021 14:19:58 +0000 (UTC) X-IronPort-AV: E=McAfee;i="6200,9189,10060"; a="192703441" X-IronPort-AV: E=Sophos;i="5.84,282,1620716400"; d="gz'50?scan'50,208,50";a="192703441" Received: from fmsmga008.fm.intel.com ([10.253.24.58]) by fmsmga106.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 30 Jul 2021 07:19:57 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.84,282,1620716400"; d="gz'50?scan'50,208,50";a="476966824" Received: from lkp-server01.sh.intel.com (HELO d053b881505b) ([10.239.97.150]) by fmsmga008.fm.intel.com with ESMTP; 30 Jul 2021 07:19:55 -0700 Received: from kbuild by d053b881505b with local (Exim 4.92) (envelope-from ) id 1m9TMg-000A2s-B5; Fri, 30 Jul 2021 14:19:54 +0000 Date: Fri, 30 Jul 2021 22:19:43 +0800 From: kernel test robot To: Daniel Vetter , DRI Development Message-ID: <202107302225.O7mspBBl-lkp@intel.com> References: <20210730095251.4343-1-daniel.vetter@ffwll.ch> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="3MwIy2ne0vdjdPXF" Content-Disposition: inline In-Reply-To: <20210730095251.4343-1-daniel.vetter@ffwll.ch> User-Agent: Mutt/1.10.1 (2018-07-13) Subject: Re: [Intel-gfx] [PATCH] drm: Fix oops in damage self-tests by mocking damage property X-BeenThere: intel-gfx@lists.freedesktop.org X-Mailman-Version: 2.1.29 Precedence: list List-Id: Intel graphics driver community testing & development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Cc: kbuild-all@lists.01.org, Daniel Vetter , Intel Graphics Development , Thomas Zimmermann Errors-To: intel-gfx-bounces@lists.freedesktop.org Sender: "Intel-gfx" --3MwIy2ne0vdjdPXF Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Daniel, I love your patch! Perhaps something to improve: [auto build test WARNING on drm-tip/drm-tip] [also build test WARNING on drm-intel/for-linux-next drm-exynos/exynos-drm-next tegra-drm/drm/tegra/for-next linus/master v5.14-rc3 next-20210729] [cannot apply to drm/drm-next] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Daniel-Vetter/drm-Fix-oops-in-damage-self-tests-by-mocking-damage-property/20210730-175415 base: git://anongit.freedesktop.org/drm/drm-tip drm-tip config: i386-randconfig-s001-20210730 (attached as .config) compiler: gcc-10 (Ubuntu 10.3.0-1ubuntu1~20.04) 10.3.0 reproduce: # apt-get install sparse # sparse version: v0.6.3-341-g8af24329-dirty # https://github.com/0day-ci/linux/commit/cfe1add77c3c78aec60eb1645950c6aa2daf8b4d git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Daniel-Vetter/drm-Fix-oops-in-damage-self-tests-by-mocking-damage-property/20210730-175415 git checkout cfe1add77c3c78aec60eb1645950c6aa2daf8b4d # save the attached .config to linux build tree make W=1 C=1 CF='-fdiagnostic-prefix -D__CHECK_ENDIAN__' O=build_dir ARCH=i386 SHELL=/bin/bash drivers/gpu/drm/selftests/ If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot sparse warnings: (new ones prefixed by >>) >> drivers/gpu/drm/selftests/test-drm_damage_helper.c:15:19: sparse: sparse: symbol 'mock_device' was not declared. Should it be static? >> drivers/gpu/drm/selftests/test-drm_damage_helper.c:16:30: sparse: sparse: symbol 'mock_obj_props' was not declared. Should it be static? >> drivers/gpu/drm/selftests/test-drm_damage_helper.c:17:18: sparse: sparse: symbol 'mock_plane' was not declared. Should it be static? >> drivers/gpu/drm/selftests/test-drm_damage_helper.c:18:21: sparse: sparse: symbol 'mock_prop' was not declared. Should it be static? drivers/gpu/drm/selftests/test-drm_damage_helper.c:101:30: sparse: sparse: symbol 'fb' was not declared. Should it be static? drivers/gpu/drm/selftests/test-drm_damage_helper.c:259:23: sparse: sparse: Using plain integer as NULL pointer Please review and possibly fold the followup patch. --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --3MwIy2ne0vdjdPXF Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICG37A2EAAy5jb25maWcAjDxLd9s2s/v+Cp100y6ayo+4ueceLyASpFCRBAOQsuQNj+Mo qU8du58fX5vN/e13BgBJABwqzSIJMQNgAMwbA/34w48L9vry+PXm5e725v7+2+LL4eHwdPNy +LT4fHd/+N9FKheVbBY8Fc1bQC7uHl7/+fXu7P3F4t3bk/O3y1+ebs8Wm8PTw+F+kTw+fL77 8grd7x4ffvjxh0RWmci7JOm2XGkhq67hu+byzZfb219Olouf2o+vDy+vi5Pl2zMY6OTVfJ78 3+ny7fL8Z9f8xhtF6C5PkstvfVM+jnx5slyeLZcDcsGqfIANzUybMap2HAOaerTTs3fL0769 SBF1laUjKjTRqB5g6ZGbsKorRLUZR/AaO92wRiQBbA3EMF12uWwkCRAVdOUTUCW7WslMFLzL qo41jRpRhPrQXUnlEbFqRZE2ouRdw1bQRUvVjNBmrTiDtVeZhL8ARWNXOMwfF7lhjfvF8+Hl 9a/xeFdKbnjVwenqsvYmrkTT8WrbMQVbJErRXJ6dwig96bKskeCG62Zx97x4eHzBgfveLatF twZKuDIo3inIhBX9dr95QzV3rPU30Cy406xoPPw12/Juw1XFiy6/Fh7hPmQFkFMaVFyXjIbs rud6yDnAOQ241o3HfyG1w076pPo7GSMgwcfgu+vjveVx8PkxMC6EOOWUZ6wtGsMr3tn0zWup m4qV/PLNTw+PD4efBwS911tRe8LjGvDfpCn83amlFruu/NDylhMUXLEmWXcG6omVklp3JS+l 2qM4sWQ9AlvNC7Hyp2AtKEdibHOSTMH4BgNpY0XRSxMI5uL59ePzt+eXw9dRmnJecSUSI7cg 1CuPLB+k1/KKhojqd540KBweS6kUQLrTV53imlcp3TVZ+3KALaksmajCNi1KCqlbC65wtfvp 4KUWiDkLmMzjU1WyRsERwtaBiDdS0Vi4LrVluPCulCkPScykSnjqlJuoco9zaqY0d9QNR+qP nPJVm2c6ZO/Dw6fF4+foEEfrI5ONli3MaRksld6MhiN8FMP936jOW1aIlDW8K5huumSfFAQ7 GFW+HbkrApvx+JZXjT4KRD3O0oT5upZCK+GoWfp7S+KVUndtjSRHCs2KYVK3hlyljWGJDNNR nOFozHI3LVqX2HYYuWruvh6eninRAnO7ATPFQXY82sF4rq/RHJVGZIZ5oLGGRclUJIRs214i 9Q/EtAVDiHyNjOnWQ3LQhNzBatVZtIccmrrfDa+YlcIntUzEGrlhIMZ1JrU0wtqqVmI76F6Z ZbOoteIF8Aq5npAoTw8rzsu6gU2qODlwj7CVRVs1TO2JXXc4Hsu4TomEPpPmQAn2qOkeTIpx vMwmArv92tw8/7l4gYNY3MAinl9uXp4XN7e3j+CO3j18iRgI+ZMlZsJAkaCqMLwZAMd90ynq 84SDZQEM+hyQ4dEv1PQOaUFu+b9YglmqStqFJsQCNqYD2HSrgkb46PgORMLbZx1gmIGiJlyQ 6epUBAGaNLUpp9obxRI+pQn2qyhG+fUgFQeVr3merArhayuEZaySrfFIJ41dwVl26bmqCFpJ SfqpZh6ZrJAtAi0VktwZp7pckecXnsvATxv7H4/DNsP5yMRvtn6yp94LiV4vqIG1yJrL0+V4 sKJqIPRgGY9wTs4CVdNW2gUHyRo20ej/XmL07R+HT6/3h6fF58PNy+vT4dk0u8UQ0MDwXbGq 6VZoFGHctipZ3TXFqsuKVntOVpIr2dbeimqWcyvlXPn7DE5akhPnYgew5I+jZEyoLoSMAUkG JpBV6ZVImzUpf6rx+5IobtpapLQIO7hKZ1xxB89Akq65ml/Xus05bFu8YaC9tyLhk2ZgTtQ5 wXIdpVzRet7BUZ0fAZdCU9ZxoAY8J09bSFSfDsQa5pODbj64YqAe6enWPNnUErgX7Sk4gZQv b3kVYz8zhz882EM43pSDZgMfklOxCNg05rmuq2KDu2mcM+WxkPlmJYxmfTQvbFFpFElCQxRA QouLG0euSqPIy0eVEWYUZo2AMFIEbYU2MVQfSdJJsImluOboD5ujl6pklWGYcasjNA3/IeaE iFqqes0qkGjlKd4hAgvUiUhPLmIcsCYJN0ba6snYY0x0vQEqC9YgmSM0NkLR4CV4LwKCNC9O 0CAsJfqShFtkOcMBiHVmsMTAy7NeqvXofJOJmjX+7qpS+HmIwCPgRQZnRHLy7NpXDGKVrPX9 /Kxt+C76BAXk7VctfXwt8ooVfl7LrMVvMJ6+36DXoGe9CEYEfClk18JyKTXM0q0Ait326khz r5hSglRzG8Tel94G9y1dEOQMrWZjUIQbsfUOC/nA+LP+aowdwrzZSAJQWCXmNLyxkzLQIRAm fiBIhTF4mvpWxrIvTNzFYZdpBJq6bWnCWQ+SnCzPewvr0qn14enz49PXm4fbw4L/9/AALh0D I5ugUwcxw+jBkXMZ5UvNOJjqfzlNP+C2tHP0ZtibSxftatD2QYqPgbFXG1Kn64KtKC0OYwUC WsjVbH84QgWOgQta5tHQoKIT2CmQZlmS0/pomDEBhzVwEPS6zTJwiYwrMmQjqKH2uuGlMXGY FxaZSJiLRbxoB/O1tNAYbWiMnfaPK0y/9si79xfdmWdhTKajD3K6LNKsgO2bMt2o1uSKYAcT mfo6ExzhGnxhYyGayzeH+89np79g3t/PuG7Aona6resghQyuY7Kxru8EVpZtJIgluoCqAlMp bHbh8v0xONtdnlzQCD2/fWecAC0Ybsj6aNalfna3BwTujB2V7Xtz1WVpMu0Cek+sFOZw0tDB GLQQBpSouXYEDHgEJK2rc+CXJtIwmjfWgbMhKUQYXioCQ58eZDQUDKUwh7Ru/QuJAM8wNolm 6RErriqbYQMjqMXKN4sGRbe65rDFM2Dj+5uNYcXUhXUjGIbBLBImPz0dk4HV5UwV+wQzfL45 qnMbqxSgnsDGDJGMux3RrOKWJ3ETeWJTiEbR1k+Pt4fn58enxcu3v2zoHMQ0PUOXNSGmKHkZ Z02ruHVfAzHrytpkFoOsoizSTOg16X02YKaDyx0chO8a2E88o9EVGIZDhCNDIhh0CC9AGNK4 nwV8aNmMch5xilrTPjmisHIkzQUfBCVC6gyCX88n6VumRgNHVWlydnqym1nTwCIuQQ9BXdEq Hg9ydtoJJWjSbaQgSwEKDpx5TE/iYillvt6DeIATA55w3gYXUXC8bCtUEFX1bXZdMwtYb1Er FCvgSLAPjh9H2nlFOURgfaP5bR65bjEJCYxeNM7PG4nZ0nHsQGSUrqIc0R61zwCM7tv5+wu9 I8dHEA14dwTQhJFkACvLmZku5gYENQRRQCkEsagRKIIVueby6Ij0NVe5maFj89tM+3u6PVGt lnSCtOQZeBJcVjT0SlR4f5PMEOLAZ3TeogT7MzNuzsExyHcnR6BdMXM8yV6JnRCChm4FS846 +s7SAGf2Dt30mV7gkVHOndGUcQKyV3GqwiUkDHSCS4Zd+CjFyTzMakgMMhJZ78Oh0emuweLY 3IVuyxAM7B42QLSxS9b5xXncLLeRYRGVKNvSmOwMvLxiHxJlVA/E16X2ywAY6EO0Vl0QnSP+ ttzN2TGXsMYsAC94lECC6UEV2z2gckAObnjAuqiTvmA+6HSPg6/3uaS04TA2yCRrvWX2APA+ K11ycMDpidsyAcjRua/XTO4ENfu65lZ3Bno7LSldUxnXSmPcAc7Viufgl57QQLyWnYBcZDMB jA1AaoHuZXiLaDgQNrgWSWwY8cwkAmYExVRS9D19ZpfkcIoriBVsrsiVgpj0E144z8xQRiEJ NmA6uuA5S/bxBKW5Io2YLPRCqkRgYFomtOYcR8Gr8cmNoR8Af318uHt5fLLXPkPoNYMR7Jqh HYTJj7DCL0Q7uVjFx8R1Db5tyKd2v+sC/+KKUmmNBH208lx+8X4Tjqs4ngMMHSTSzV74msEo GfQignSsxLtLcLDI/XSwc8pjcLCL88Cr25a6LsDbOsvJAXvwKTViDzzxYi8TqsgsgxjocvnP +dL+iWgI11iziYuY1MyWYelGJBSzGhcrA/GC0UA+GRHxGCd/HmzUZu+pYl2Cp3xFgUxT9M4n 3va3/HIZ7nPdzPO0sSwQyEqNqSvVmmQq5fA0yjtw/MKgSDTims+2u/UMCmg5g4YbgJk3o5lG bRXQCeH23ObafEx4Uhoi9YnSKkVN7gPPaO9ifd2dLJcUg153p++W/vjQchaiRqPQw1zCMH6h 046TVyGK6XWXtn5pXL3ea4FKFphPIQOfOP4dc43cpJfwBCivvO/PCpFX0P80YH+X4NimOkjT JmWKASZqZ8peA3OKbN8VaROkyXsNeCRSDhMi6xrZHZMtNk5Hxh9kw+rbx78PTwvQpjdfDl8P Dy9mNJbUYvH4F1aOhrG3TSnQgQylGMM0Ag7ryeTkq9fbZqs12D65aetIiEsQw8ZVc2GX2s/z mBaX8avlFUoEaBQYakx9jYViiGvcs5yMNe1YdaIsOdEkim87ueVKiZT7GZZweJ5QBUs+Boup X7EG1M8+bm2bxr9RN41bmFtGbRmrpouEaHFufuO3Kv6hq7WOhhr9zcTs4iw4LLwJgRNiRF3S OiIalOU56LGZpK7BbdZgjFkR8YepzjVgozHbOlcsjcmLYQRTHKExEZgHpxPcdlMleMIg3bOk r2VTF23uXL8JAXpFZ0ps35nbbjtzqyHoAklv1vIImuJpiyV4mFm/QpMhq4Iq8RnFjNXcE9aw 3V2shVMgYJ6AtG7oq2wrNrsGPNCj+wv/j6sABz0k8NIUmIe2v8YGlkPI0NcdLbKnw39eDw+3 3xbPtzf3QalRLyRhaGPEJpdbU+ONCeAZ8LSabQCjXM3GPQajrwDDgbw74pkwbNoFlaBmW05O 72Ni3Gzu/P89PbJKOVAzHzVOegDMFYZujy4hWu3MxvqLo+DDkmbgPf3k3hwjd+CZzzHPLD49 3f03uA4cMxN1r0VDdwyfIdQtzjkfUjlNHSP5w+BeVPKq21xMZhhAv810znfGsoPTEfl+Necp GFMb2ytRye/BY1sZYglTuh0QNwI1GbKbBZzbjOeEPrclXWXu2SYxWyGrXLV0Jq2Hr4E3ZxH4 yGJqcv7Pf9w8HT55XhK5qqg6PQSaiyas6AL/zIQPcxWFhHIaeFB8uj+Eqiq0x32L4eiCpcHF YgAsedXGsjAAG04/OQiQ+sQ3aUosqE+S+/7suIzBw/2uV2qLbl+f+4bFT2CXF4eX27c/+x4r GutcYlRGGwsDLkv7eQQlFSrKVgRgVnkeGzbhjGGLHSFs6ycOW5NqdbqEHf3QCr8iGy9CV60O G9KSYSIoaBw/dILRiH+mtmWtrP2jTWwhqNueijfv3i1P/HOb2X57NHcPN0/fFvzr6/1NJCEu JHJJln6sCX7obIBbg5fB0oajZors7unr3yCEizRWujz1C2jSFLMT/uWlKo3XY0Mjf3uyqy7J XB0SXUyQhfUQ2ICPMOqCZ3RlRC5lXvBh0okeaQ5fnm4Wn/u1WAPi57tmEHrwZBeCfdtsg1tK vD5q4YCv2Ux2Ar3n7e7diVfEgLe2a3bSVSJuO313Ebc2NWv1EFz2VRI3T7d/3L0cbjFE/eXT 4S8gHYV6ojv7e3q0JkHqcWMvoAmCf4dgHtTaioeFZOY9X7fhe41pnyx+nBAjYoRNIvp7aa58 TG6zrUywjwWOCcYrUQyCtw34zq0RVbfSVyx+zyak4hiTE3UEm/im3bbijTQFkDXd7obBqD+u OjHwrK1sqQlEsBjBUc+UAC2omBtfUJkR1xCdR0BURhj7iLyVLfHARcNRGVthn/4QkRsY8gYT H66cc4oAbrbLY8wArZrtysmmW8rtg0pbatNdrUXDw3L0oTRCD2U75uGL7UHiVdIW70TAs9OV MC83uviM8fEo+DLufWR8dBC4gAxWqa2ScAwW6niLp/2AJDxVfOU523F91a1gF2wFbwQrBfoj I1gbciIk9KuxRqJVFSwezkv4LkVccEcwEYad6NCZqmRbBGJ6UIMQ8/dldMptUZjPGw87UA1H oESpYlm2Xc4ww+ByBViMRoLxPQGF4pjSCpEt8neXijExTpM4nsRkeoTh+tm7oBlYKtuZEh98 iWmf1fXvdInN0DxBq3wE5KqfPN8i7jJBHJWsg9ir27lqDG9KPNYCeDCiZ1I35KtxD/LdRGTR SPsqPb4hmCCAxvCfQmI7PpqiNupKIK7jSVPJEjMu/SopkD+J/N3G9au2uYybe2Vcmbw/nDWW cREMZHkRYFh4GidUDZMYIEyAVl3F3UFX9fcrPMECSk8QZNpiqhYtHpZQq4msaZk1uG7QSvLK 7Q6huk1nc/0grknyg8rDCIHv8P0hZVPCXkMNonOlQ+UIMSYm5IE+8NNSbw6JD9ZF7pLfZxMA i0zn4N+iAcDzptYzLLbbWI5xF2h+jTONQhXYTiwhROOgTNyDb3XllTMeAcXd7emS3SnQuDh8 k3h22l+cOCM3rAtVv1+9PHvZ58rCwR1M1L6elFyOrltsICavCycMP/diIlQDrmwbJCqqEHfi gDehYGsvhmLxPJHbXz7ePB8+Lf60Bd1/PT1+vrvvr7B7hwjQ3AkcW7tB639MIroDOjZTsBn4 uxyYbBYVWcD8Hde8H0rBkeNjBl+nmTJ/jaXs3oWkVQj+cTtWsbXQ06eqIVZbHcPoXaZjI2iV DL88UdC5nR5TUGbIAVGIFTpQTt3HnQc4vjI6NsuAOPOTDjFa/OsMMSJy4hW+9dJgPsanWh3E oMiz9IpMOIBXv+vLN78+f7x7+PXr4ydgmI+HN+MEINklHADo8hQ0zr6cGcsofPO8dLigG4ZY FTN3Tbo6GRmnrexvp4AEgcHEI5/YhPHO0Ab+EDwTQZb5qYjUDGMe6s+jqCsKwf5eS2Vu8gpW 17ijLE3NOUSZ41E39o9TuhXP8B/0RMMfOfBwzd1td6Vg8PG6gf9zuH19ufl4fzC/67Mw5Swv Xhy8ElVWNmgUvTRGkYVPYhySTpTwdaNrxseAvknCKx/3hMZpgDkqDInl4evj07dFOWbgJsH6 0XKKvk6jZFXLwtB8KNKwMIJbXGfP6Ax94h/qsXEP/iBD7l8VO6KElgULjbM5G1dO4bDcbZw/ HSr2ujGGyhR4nVPdHRpWXTchCxsPIJk8M8E6GcWRr+kC31LkisW+BIbTXfxAab3XhlG7prs4 D4qYbC2xDDOFGK9MI7WN9ra4v6YxHpP9WYlUXZ4v/+eClsv5eu8QQlVL0R6rp4emcNiBK7an NBKJXdq3buPygrcVG2/dCcQZlQlMvLbwUSh8zgYtAyzTcZe5JCLCgFymL38bO1zXUSHICNH2 sRgx0pAuw5cYfVZpXIZJtZjtwITNRkzCHfPgxcRkVhsHrveAcY1uMaZ2Ive0b6dCuRKkW2Bq yWNMk/HKQongylR4zv7KQo7lo3RKDkE5RzFFQ3Rl6rPG2UyaB2+1IS6oTTlkRil/7GyiGj+w 3iClfbA9qMt5jTjymP/uarOyD0b6HI9Rq9Xh5e/Hpz/xpnCiT0FjbHj0gAFbulQwivXAinrO N36BLQiyvaZtpncTPgCFT+LJSABuJCXMu8x/EotfIKp5UOtkGtFK0hdtCNXtqsMnN8l+Hsdq xzkavNrBmJzg0hEOCdPCVHK/DCox4HNu73Zpbd7Pcz8S9RpNP08OA8YQtX0VHf64D7SCysLL bvBVsIRXBbBMrNA9s0GPng5WF+4H5IJDBagtB7Y4rKFeJg1I4AOtpK8zB0hSMPA20wBSV3X8 3aXrpI7mx2asfKVdZIegmKLheFiiFtSDLwvKFeaTytYTBAvomraqwjuBoQe9CaVba/TbJQMk Wljp7+yw+7OrFKUuu+0JPbWDBhfY4GYCLXIjZga1q9k2/8/Zsyw3jiP5K445bOweOlrUw5YO fSBBSkKZLxOURPeF4a5y9zjWU1Vhu3Zq/34zAZBCggmpYyeip6zMBIg3MhP5YO3cAXdIQ2Ow rQ5cMxBFt4oGgXTBd8o0ADmdMD509ogaGZvduOTJSTQgE8ndeSNaHBJqOjViTnBhnKqA/dNI tYe/rlAoj2RC8JjkzmvrCD9mu1gx8PLIAFFCoEYTIyqv2f4ds7K61KzHjM7jiJA53POVZLmo gSYVreA/K9KLc5kkzpE1cJOTSRqjCeLQscM/UOhBvEihm3qRAtp0Ed/wIzmgh7799o/PP/54 +fwPOihFulIBmwHYmLznF2wK/eTAC/h1qD9QDCOvoSK98JxEnY1dt7U9qreP5DzUZUFm0MpI uEGK2ouHBTRGa89+PakvIOH4SgW7TSTG5mndBwL41afJrq+ST6IknI5BDYtGH3vARMYCB5l/ tw0VwKdq7nIP0VNtvibzvn8Bix8jGtuU3VskOib+AhkJjsZeJiwYjm4PrtWflQe0TMbZbqPl LLDzeUu2M/7moyi6BMcFN4buZCaNTKnYZiC93BUw8WVV1byQa8mKpmYKiy3XB32VKOJRrwFw 6SIvv1ksIh6XNKKY3Og+wYWiow9UiKAGcT6jFoQuzT7Lc9FkWWjHDnQ7dXJDFbko/PdSD4Lj kgUxRXvPI+7V7zyiafNlH6jtQQQQeVxuFrNFaGzUpziKZqsrIwOSq8zpa6KL7hp1N5vxDq9H aEC/ns0jzmYyzQThys3vCesN00d+uGYxbZwTJ2wMUBXXwAsighdj5lx387gmNkX1Ho4kTuKV WZZhf1ZLwqWN0L7M7R86KhOc9WXL6tecIkZicTRFsRg/4Yz3EKBNC7EPP55/PIMI+6sNL0ds pS11L5KHSRXAcyX+TGrwNuBuPhDUjeTu6QGtmfAHruaGjS42YI0x1wTI1tRmD9xQjuhkO61K JIqrKqO2735NMfZ2WhkILukUmipkCLivwL9Z6DDVJV03tHEkH+zHJ9Wp++TKLIh9dZ9Nq3zY MgtBWG3x5DPbB4O7uBxEfM+rKc61XGjnfs9MVS2zQHMAc3lt5qxi8DzZ7Bpg3nDNA+Hr0/v7 y58vn72w/VhO5Io2HAD4CEc57AHRClmmWcCSU1Pow245rXJ74uo7UBdtvy51rKc1IfSW+UBe sZ8w4QgvfIWE4XVry5opvMC4luRxWMuzGszBrG2CGxffQYqAnOuQlMljwD/UIToEPN0dEnSV v0aDuRsCAzU0OC7lhDHBcYlZO+Zxxcutc/ikwjkh0xLNwVSFkf0dRhD4zhifC46Enxuhw59H jhd0qPI4UD4N+Mg4JCV/fTgUBarbrhGFlPwOCWrSiSK9Av7vCOwbWVQOUCvpXdOy40RzeOTV hiM4B146iWnEl6OxYD4WQo6ETMvxNUhW3DcpgnFSQlEVU2MEdDhF7Z9GCAFOltweGobnDC8L YLHSDTW7V/6lpAcRWCt/JecL2OAKPbUByVT90LgWmfgL1WF+LaVQnALNxkXVQjW5jB3ERCmq +ccOH94eexrlMXkYEw3YB4Cbj+f3jwnfVN+3sFomvG5T1T1MjvQs28aXiUmdHsJ9bThXvY+L Jk7ZG13E7gskrPwmPlFAQh8aELQ78TX1n6LNYkOLS1W1oxk/AG7S5/95+cwY8iPxUVCfVg3r RCBEDmJV7mEdnLeUECTiXKCBGMZZZZcpEt0fY7Q4rYXM3PCVtTlpafdEzzTZZJsZ4nMF227J BLssES/u7mbe5xBEHT/OYC5WmZ6CrcR/txx/jPiC60NxpXEF6aNfus7iezuA4akDqZD38ddY NCZ0T18H2AvlrqiDSm5eMGbmn0+faQA5LLNGYU2TsN/JCjRpTOh3MpUicO53C25rBcjVmuO1 9M4YKiPF7IIKN6IQSTxthR5EprrDZEMMzlXTwaAljZGbefzj0yIwO3Q82ogaL8EAo1kaUCNi MHfudkV4qrx6CrX1eRwXHVeq5lmgpOUe5AF60Q8E8EPYpQkXYPyZXn88f3z79vHPmy9mJCae nklrHD2dc79FzQn5vRcyacmkOkAdLtuamXqNH0ng5A11YKQpWk7h5FI0NC+PQR3iJjCgWE4U 89mim7S7hv06hW6ZLqZtHk27vRBMT/NDJuKGPyUMyXEvePdyXDrNkRPVcdW0+8W99z3DCbHr Pjjnow5oCzd+U1MPfguzTjXAvQVCNo6EIbaz6e6JQfMWoyCff6u2yeLC2PY7rA4+FTe+DeZJ NhmAOBax2d5Ll1kxv4ctSYGyrA/URNnAd3VQM7DxxMJNbUd8Am5SanZjwUHLm1hu3aNRbv0Q 9xoGtZgr3wX652dW79FTlxe6ttwzZK1i9PmjnZBbokTIT+YBllM/YlhXanS0w+h0We5z1cOp 5YPRNK1QOwqFntIcd2iEVRFxLWv3bVXlA3s/XJkhBszY1xPewv4au4m/+2OeIKscYKA0Cbq2 TmsaXBJBSqjaSbXavJWp0Eb5daz3/R82ixV1wtW2d8QybojEgSWQgJLH7shZgN3XFN5nohEe qaoJBzTALpjvjyRs2AaKRUs8Q8Ou2jMxHzSCEPZpzQvQGlmz70rafVl5Yx7KIIY47c2svA5d iLWC2MbY3Q8Gl3g9BmlVe+A4KT2xW42l7SF2NAhAE048Iye5GhAp3cCPus7G63sdE2lQ10h9 z/RootsJHAuZdUmmQ52cgwyG5wOJ0J/sMsXfmndDmDVz/D9um513h9tWd9NoU1c+dIVLJpNA 9DqHRvv3X2xEL8g29zH97+1q5YUT80mszeSV76h9PSalQnHn87evH2/fXjGTzpnvswfn+8tf X0/ogI2E4hv8oX58//7t7cMx7dOb7OQthfTUZ/UUhuLTZGVYuM7CGDg5Rpqs9ncZHKJ+pFrL 4lxqvjEE//YH9PflFdHPfvfOxpFhKiN6PX15xniNGn0eTEy1NqnrOu0YJYKfmXHWsq9fvn8D uYdMBIb29FxfXegYXMhDwxliU5+SkUV42fKppEgTxka9//vl4/M/+RVFD7ST1X61mQjWH67N YW+6HHc6u2yQzXZ7WggZ+7+1004vJLVwhoJepbaLv3x+evty88fby5e/nh1O4hFfI89V6599 NfchsDcrYr1kwKydm0X5wTfr9PZu7mic5Ho+2xCxHSCLW96wpBXs4WBHwksCasYPbUh8v4Qm rmXqMrkW0LdK3s2jKTyVymSP1JnQ3OiDlsDegU3Xt10/cfWZkKPBdlbuZCDB30gWkj3Grx6K 8Y3Jw4l94Wq+BrD2Q+qF4bpNrrun7y9fQEJQZrEy690ZndUd/5w/frVWfcepWtw6btdMc6Eg nP7zKabpNMaYKgx54Pg2n8NavHy23PJNNQ2UeDDujfssr9mLFQanLWqqohhgfYFOkaz9TVym cU4MlurGfGmMaaLzK//mR0h5/QaH6tt5M25PelMTuXEAaZeBFNPROZx61zbx+BEnzda5lHbI Nx12e8USgFxiQu4zvTwXGFzi3GnxezSU0k6dqNQjnk4WaVzmXCy7wqwirJHHgK3bqClrAka5 hgDvCVsNcLDou80dKEX/UCknd6rbYF1DrD3NbD364OG/aQlCeVgH8XJIgYLpSYCPDqQzRvTx kGNWkETmspWuw2eT7YiDifndy7mYwE7RBFQU5Dy0Zd1ExANs4dSnHU/QKV2vyK0f5hsWZQYs rglJwt6Sgc06xo8yqh2ye4u99C9MEvNoKDLqFCoQ8wXJhoyBLCdZoHalGyqmaImSD37quWOu 1Ke3jxds9c33p7d37+TEYnFzh2og3vkT8EOwWU1DGoAGMjpA+AWUiaiCLl3au/O3X6JgBTow jvb5dm1VpmTonYPOOe7OnvZSd/MAfwJ7iVksTSqs9u3p67uJEXWTP/0v0Vbgl6qq9jqC35To VgdryLwZjhdTXPzaVMWv29end2Ci/vnyfarW1QO4lbTKT1maCW8LIRy20cgjkCmCGvT7caXD QocmCld/Epf3vc572Ue0cg87v4hdUix+X0YMbM61VOuxefX62JkiVdMFjBi4pjifsAF9aGXu rY248Otp2MwReq0nKrO2w8NNHZ5EI8E8ff/uhGZEP1dD9fQZoyh7M12hWq/D0UT7VX8l7R/9 eNgO2AZ+YE9plwy1pdq9MtBFE6MNw/Zu81jt/a/ByN/dduERkmKPWL9YppJ5uJC4X8+Wthhp SjLv2VaUWfvx/BqoLV8uZ7tuMkwBlb3BIX8d6pGOn3lsgNFuJpWCxAsrgD2rr828yaD7/Prn Lyg/Pb18ff5yA3VOX3joFwuxWnE25nrAcmY113uvhe62bVNT4gyD3yDUtBiSHD0yXR9ci4Xb WVl/zWi+toqIl/f//qX6+ovADobUufhFWFc7J4hJos3xQIDpi9+i5RTa/rY8j+j1wTJWDsCo 0o8iZEjpSMYGTuXSiyFLjoaTLnqWJP79K1wPTyDpvuqv3Pxpdv1ZTeBPl/5ymmHEtosr0LQw pFc7U6jVasGJHyNF0ZEIOQMYd/1kEyGCMwnwaWKYcC1rmRPt5f0zHV41NXMfy+L/KVkwmEHW noyWVPeVzlB0EWluOteJ62/Q6uAKbgKDECn15+XokqQ9NbIdow1mQsA6/QtWpqNW8ssDEVMr QFHfso+LgtgXBAisr2iAKLFhboc4C0yzRgsd3Ci68XmNF8J/mH/nN3Ae3vzLeBwHjiFTgDv2 rlfltvyQeLwNAPpTruMpqX0FwqR3AGmCJEv6XBbSTWg+4DAcA3NLImqXH7IkvAd1frcJ520J Ks5q2s8JYIKd+bH+LYgTw0qqLC3tgyOqTBXIwQw3/vbt49vnb69kQqSKoSivaC9rP/zsGWNz IJhD81hknG6VwMf978gtg3ogK1XVKJgWtciPs7n7dJyu5quuT2s33qQDtCLcWa46FMUjymZs j2RSYAxDrkd7EMMp69HKbRHKrCyF2izmajlzGFOQ5vJKoR0Ght5GkxSidcTTd9UX213NhukE 4TEnp2xcp2qzns3jPOCbq/L5Zjbj3J0Mak7D59oxbgG3WnFmSgNFso+IodYA1w3auCYT+0Lc LlYON5+q6HZN+HJr7ZmgcMWGbUUztHrvPnEpjw9JT32nk+DiU0HgnWzUgbckt2GHuXG7XqXb zD31UGEJwpzTEzGn+WXNb1hN0Ja46eeRfpsxZ3VWIzPqqv+HBaAxfdzOuezqFjtNTmURRdzd ru941a4l2SxEx3tnWgKQn/r1Zl9nirvnLVGWRbPZkpzztEvjICR30WzC+hho0LbhjIWdpg5F 3bpRJNrnn0/vN/Lr+8fbj3/pHNE2GPkHysb49ZtXvG6+wDnx8h3/dAe4RRGNvTj+H/Vyhw9V CMXoOqpTO9VuuiWTC9VNKjGC+oI624/wtuOZszPFPmVdUR1rabJmxJ5/T05E0R95Hy697ONc VE3ADnLcF9Qk4QwmplH7GGT2uI8dygNGbiWX0rGOS8m/AZGrwMgzaNJsmfIJG4TI3sTRP/P0 TAFHf3tQXqRo/RV0IbuJFpvlzX9uX96eT/Dff3G7eSubDI2POEWvRYFUp4gm6GLdzkygJT4+ /lgVKHfFGusfe4uMM+EMtrbkpmG1qjL13KP1dcjUjq3fHcgL2giaJtPNHnTkbfY9AJvRZvTE HmA6tBZm84vToBMDpW2qQ5kCE80mTPRIvZRfFIsxrI4ZKuppmDdKhep6uJqCpgYwUcdQRlNZ B1HHLmetuH2HigS2NnGZ3rl+yvBxlfkOUijZVqwxaoNqQucKM7/xyW2UtimmmWKMn8H5R3/U q6ypFJyPZGcfMzYki3XOIA0p88ILY1bSYEEG0kfzGaebGLCzVeRXQq37LUx4cWLNPik2s58/ mY9aDGsEOHxEwsXKF53PgMsKWPgNe5vcnQhvW25HatRoXzjoRT7eXv748QH3mH3Mi52Yl4wd 78rVjqwWfaEfSnU73GZoFOrzpi9GDgXwYUmgMDC4KWvdNng44zWktnO6OxGBHkH+fkT4XjZK v8qWf8v1HPZXKx9C3udFe7dazLjPFMf1Orud3XKTNtJIWPBaTL9Xv/PuRVO6zfKOy1HD0q7v NqurFa7Xt4tAZhnama7rwj0FJAbXCJ68mlKh8A93Tc6eKwPZGK1gUoF1ZUfm6eKHBrqC990Z yB5EvGbc/NGirs3ucUymSAWdcNz2L2Api8dSFKlv45tqa0+QLTAWuRJ3i667SkCdSQajpb+5 pUeWHSO109M0wwAzcPU1/UJQgTXLF+z4L8Qq4uUKaxsCBHd8QvIzwXrDX3UgJmW82UP7WO95 mc/pQ5zGdUtvOQvSWS23PAPmVrDLqHyStdEiCjkPD4XyWKD+jWZ1UrkUFWtpToq2WeVlKswm PC6VIFp1rRNF/DutNAPWepj8a2XJWxb8XEdR1Hv384gPMzs13moBH1+7DspChHieUgbMkqBB fbdLro0AsJhwpBPz7PghkOrFLdcIdm/oFAcVuXzjNuc7Bwg+LT0i+LFCTGjKr6w9ww7TnZss +e0H1yjyjAHHn7ILpB4PLcdW7qqSPyOwMn4bm6SkvhLSLXhlgUKHhZesMim5BzOnDBYoqSwJ 7DBnJU0KHeWhYJeDAKZC0VcMC+pbfu5HND9eI5qfuDP6GIqYMbRMNs3B0xSuNz9DDMpYSomK nheSM/5zi+jgvTQ8bNdnIvDsm149eNKJcAIiQx4MeTiUsr4b5w/lc15foUAUDGSMdOrLikOe EQ4oyeZX2579Tt+IHNT28Em2iqSTs6fftjh+ilhfSae4SZrllt6xVlROkf0hPmXUTF1enU65 nq98LmRAWV++8+LgU1gjeObTzQKKqh3vYwTwI58PVXahIv5tQDGh6pahlgEiVCZw022LaMav Obm7MuyaR0e/XXfcPhVXZriIm2OWkzkpjj4bfF749zu+3er+MRTJZPgQfCUuK2rAkHdLOB94 BUferSZvHC5WnS6it5zrvDdcdC3eq/V6yd9biFpFUC0fQ0cLRcsuoLz058jub5fvuVuyz9+T 2c18CWPAPjZkl+LvaBaYqy2IK+WVz5Vxaz92PkUNiGex1HqxZvUNbp0ZsJxe+HY1D6y0Y7e7 snLhz6YqK6rXLrdXDvmS9kkCA4iRzUtg1jG0V+/zNNMa1ovNjDmC4y7EDZXZ3PO+d1H3QQOK wTxehCo+5G3DB7U5pevZT+79zR2Jo0wpV6uziaS8+swpWN1L2v99Hzo2MWX2lWPLxuM2ZvWE 29iD7AF7ha34MUPz421QGTtUnpUKlbHspnnIqx0N8/SQxyAe88zmQx5kXqHOLiv7EPohGC9t aMgB3z4Kwnc/CHwPgwFgq2yKq8u0SUnXmtvZ8sr+tGoMt9Q6WmwC4VMR1Vb85m3W0e3m2sdg tmPFTkyD8XOIZs9ALteo4gL4MvI6oPDW9uVNpmSWPbANwUwXzRb+I2eM2vKTAnC0wRfXBEMl cxoFRInNfLbgNMykFNkc8HMTOFQAFW2uzDVqlUh1hdhEm4uaFk0CLeU3ei1FFGoPfGsTRQEZ DpHLa1eHqgS+DHS8tkm1+nYk/WkLjCV7fepp+KJ9XNePRRbz1zwurywUZQZTBwUuR8nFBncb 8VhWNQiz1LRA9F2+8w6Aadk22x9ach4byJVStAS6cQI7hdGMVSBMYMu/Gzl1HullAj/7Zh9y lULsETOZSfbJwan2JH/3HmUMpD+tQgtuJFiwwoVTubHCcCu3dhl48uYyEHnO0sSdDJ/QlibP YT6uTmInG0/tYvccIuY1p/fbpqnDCqbZlura1f2WP7aB92QdgrE1KrFi19CI/SONfKABrj3M CSDnn3mWYkKF3Q5dZ1zEVmdAJSC1HWNVFVLeAC4YAwbVdKRsnMrSQhyNnNHSIZzpXtyt13eb 24RWNCi8PKgoVstoOZtA7/SbhQdcL9fryG8Nwu8MMdMYfILC8faHU0gRp7Ffl9WO+HWdT4r4 KG0fmG9JUefokE7rzLs2WJ8x/OhO8WOgylxJVGXPokj49VppMlj3gAfZ5CrNet3N4X9hOozr jc8umGUzRKOFvEA/zo9afi9GRBtdKovi0KRs1Va4mSfz4cpRcJfF4UEqu7oXy1XfYjDn6SIi dAGaYdW369nCW7IPTqsH7sq+X3lAzaD5/UNObBgz5ov6tYpu9DaLZh3NfpA1Max/KVR4Udco UE4m38G2Yh1F9FO60HLtN1mDb+8uf+t2E/jW8HZGvmRP9x0cXfNmR4xfzMO2to/xgCRGyvZU opkHfdBDy1UPNFTXePkfdYWyTWI+6ZlGC8w8KOH28aoj74waUhyJAZWB4eMrdK0Yz2nUChU/ Xj9evr8+/3TCNdRCXXDvAGzfIQkZ+9HdflJ0vGxqN45DXfeJSmlyZATCzZfHbUaB02zJCC3q mjXSrG2+H1/9C4gq8B7lPVw7BfzUAFi7djoNVFSb3Iee5cX5Hue11irfO1OIwcf0U+9o1uEg RNwSTh9h9/Ep9AiH6BqzhLCxDWyYs7UxOp0A5/6HULW1Zh3LEQv/kQfkoR94WUd3XQix6aP/ Y+xKmtzGlfR9fkUdZw4djzupQx8okpLg4maCWqouimq7pu0Yb2FXz/T795MJkBSWBNUHO0r5 fcROMAEkMtMst9GiLMS5JIlcKzX2oQq0RnyvCZJb3zPD2VZzKs2WUcbbS9c0m0S1yJ7lfNik nkfKM1IOb2Wq7a6ryCbWtcAZ29dJ4FHnWjOhxe955lHPovpA75bPjKbgaRbSqvjMGdqScZej FbUd+XHLxXaQHr7HpugYXkRq4iS0RmDeBmngLtu2qh8ZvQEtnh4amBWOrgFc9bxrgyzLrBes CIwluNUiz/lxcL5joqqXLAh9D9ewdjs85nWjr7dm5D183c9nx1E4kg6cMnGZHwftL/Yvvpky 6w9rMwZn1TDkV+dGJVBOdUKuxpbqHjaBR47A/H3h+/RR6G3qCa+V4y09u+wCXI2kRHIgjGDF pw3NZ7+8/vr1AGmo3zq74afvnPaAsgxucNeYPsedTvuuLms2UAq0G2jYVLZrOsbLVv+FZoi6 DXWp7YEIwbV0hCiTaO13+ndJNMJXxB4+vfz8KLxJ2Le+xbOHXWEacUup+AjbJQHENQNJQn5q dgMbn4lmkgTeV1W5yy9mngz+bivtfp+Qn5NEd20jxdDA78hd1ym1Pi+sHHi+3Itn33789eY0 Ip+9QKo/DX+RUrbbYTDYuuIWIgP6PurhSgXS5LAsv0zI4gHgywuMTdqd7/RYh2GrSU/gkvCu e9L8QEppdSKF0nJbaQrXfVr5wGP1tO00M/BZAut/TaNR5H0cZxl9RKeTqN3pG2V83FL5voeP pKr4aEBKA4GfeGRhy8kR/JBktHXSwqwfoThr5TVvwWqAcJtOnkAstLHIk8hPiPIDkkV+RiBy SBFA3WRhEDqAkAKa/JKG8YZC1LijN2k/+Kq3pwVoq/OoHy8uEAYPwNNi+sLaQpvOEO6Qxu6c n3NaYb+xjq3RbTZnbILr2B2LgxE8lWCe68hz6FgL6TLeGSjNCIv8Rr1Jrbzo+i4GhnnvOb3Z L1FeDYyMhCRhGbUJK6dMigLB/bVNGpni4invc1NYYbwp4yKljjhtew0ab1x3YCURWoK+zSph PCvcNkQbgW7i9Tl5114QTvxyueRWxaZ3Vm/RpzbvxbaIvkI3QMPR7jIVY5xeh+2IoIhoqmQM LAljX3E0b1dvWtyEMHOmWbrRNnIs1OwNklg40xgbvHPm8FCuMY8wsbFLwWinUip1ewx8z6cO wy1W4KwdbnlhaG5WtFlMBljT2E9ZMTa5H3nO9ARjD2PnbvmLp3Hkveu6r82MjLtXFEMbXyqh zDdeGLlKXeIYHMg4qQrrkDc9PzBXGarKOH1SsX1e5xdiaqHZlyJ0WVaovEmTvsvbd13JqLWe VjtWVrozUA19AiH8HyXkrodKZTULpJt3MiV0FEZeNFFJPOFPaeLTDb0/ts+Vs6Ufx13gB9TN EI1W547ZoKo7GjjneBpxzjzPUS5JcA5BUAd8P3M9DCpBbNgGanDDfZ8+xtZoVb3LOSjp/T/g 8n2QhLRWqfHEj3ud3lYXXVnTknhMfcqMThthY9Hr8WxUFCDL0yHd/yUsJcb44iV38hN/D+gM gu4Q8feZOUs0olurMIwv19ERkFArvzWnUwOoHMXpmnMIiX3Pruk7zkbnGyA2cMR8c7dUYlM0 b2EWuVMyJIaNu1BsbFaLMx6H7b3pFYnzq+2Ay6bA1vadr4koy/BPBqxglotlkKs86Okwr6+z vufMdN+NHRn+2+C9Q5dyTj1BtFX9TxqqCpzfGoSfn9CGkN0fl7J3MHp1FNPRZUz26osuksv5 k9UD9CuEfzNYSt5TYqDPxbfTmS8QAs+jfEDYrHQ9kfTKHKabKndorg6futpnjNUVqULrJG6u BDR49AMymqJOanaqS0YNOw6R54AuWRI7taKx50nsOTzsqsTnakyC4F4nPgszTLogQ3doJlU1 pBnsPdeOB7SUWctGpmkc0/qPcUprHxpmKpNCpPsmRQksrgzJTr3tOEuWwanKg3JydGHyfT0M uJRRPSyh0DMTCCNLkttJxtTrMEHxvGN1mDc12b+6B9y503wEaZUivCcZDPHzyjIvCkwh/K+7 e5HiYsyCItXnc4n0BTOW6Rpcsy3AZnLycrqR0nQjcC01wHCTlnh2KJy7BZIht6LItI9G8+zz pjKdTc2ya8vjOCMSWQh1ZKeEV3F879EnkF0jVc1lp57q6cWJBrWFK/dNP738fPnwhq7iTRdS 46hZI5zIE7CWXTbZtR+flMlJ+uNxCuHNBEXv9yBe/IjVwt85OiJG7xHz0OWvPz+/fLF34+Ui Cz5DQ42LFn2MAJAF6l6nIryWVT9Uwh/t7HqV5hl+wFTIT+LYy6+nHESt4wuh8ndolUSthlRS IT1QOArd5I5SqocRKlBd8sFVftOcgaA0YrVCqQoqqx2uR+EmOKLQAXqYNdVCITOqLmPVluQW r9YAZ2lsRqZRnu/WZxiDjLxippLqnjsGQ8OWEdl+//YbyiARMTSFEyTCz830OFbetMXUGfo3 ShEqQ8JM9R2njwsnWLpxWGPwomgv9CHZwvATxlPHhYKJBP27rYYyrx0XqyRrWzRJuJ7QNH+/ G/O9GXTOQb1Hw5sdd5MaHMbwEh5690cB4B2Hlu7v5SFYrN3V1eUeFV+6Zz+kT1TmbunNKHiL I1ZtpjTGU1OMQ22dtUygjFbRlq4Aexiwkh5vbffcuW5VHdF82GUZJDNGB/yujW14FEMqtSO9 Kzx5xCmcfntY3zDQYdqy1k6UUSpi4qDrO02ZFAi61ZJe2l1JSus4YWg67HJV1xUwZ1ainDPq srLAzhiZu+z2dkkwpFe3czy4XSnG4Xzz4bSkuQhFRBHQWJqKsvi50YzAlTdA+kWwxNs8Cn0K 2Fedfkn9Bp1I/84qPrntIZ69oFHHQD1fjrWy2MeTHFaoDq141z7dfGxObqY/ECrQbbQ+tYU4 8CwoawYM+ILBwCPN/PwmVddlsJYJIn0N01ORGBUTQ0fxlKOcsyvk2+Q23BGLsS+yNEz+Ng5z WlDCzGkCxho9XNqT6VOyOjk9Ghx68vwGXtF9caiKRzkylcVfAf961yjuqfKIRxg3zxCkVFsB T0Q8WysG0m2nShFHO67nZ0MMehZTiO3x1I0rvJZcxyIy56+IFPMPLZFiIPd3CtTdMfjf0F2e rKa58jEMn/sgciPGfmVVFyL0g375pH5yzeYCtCxh5vhe9uieV7JTbw9HDI/Za94DNAxDScgg MZZhDx7q2RYrmkNKtFzGHupgabBn6nICpeL4Gdq708XSt78hOwBVsx8BYXO8zLONYoAsyiVc sxPK4/SY69Wd4XosotBLrOzg3c43ceS7AM1j2wxB1VeyaupL0deam8jVyujpT0F+zHCNCkOc cM/NhKnlX/78/vPz26evv7ReA/Vv322Z0e4o7IsdJczVIhsJL5kt62YM5nLrj+kL8QCFA/mn 77/e7kRpk9kyPw6pU9YFTUKzpCC8hGavYFyHmDrimEB0SEQ8c216aqdCzFXa0ZSQcH3PW8oa Uv0BqGfsEpn8Vmz60bqywMVlbRjM9Cmm6H7G43jjajRAE93x3CTdJPSqAmFau5iQfljcAYog k46+5IWu3d4mlH//env9+vAHxv6ZYkn851cYH1/+/fD69Y/Xjx9fPz78a2L9BitGDDLxX/pA LjDWpv7xRXFZcbZvhXda00WwAfM6J12gGDTNXxpN2eZP45Azyh7GTEz3l4totQ8813CpmuoU 6PWzayx210SI0ymSrrqbKqZlYfyky+DFdtaMs8aKkKjA8v6L1a3V3/AF+gZLKOD8S77xLx9f fry53/SSdWigc3TY8IhO7oPE4SQO4aHbduPu+Px87YxFgkYb847DqoRSeQTM2ifLsEaMc3Se 3xnLOlGL7u2TnLWnmioDWR+loJo+Wh2Cja/FbZ40zbzYmrMtObMa3UXH6RVQnauOXRfR5HPb 6niBoa9yDHzmbE7pRtvpf+VGwS/IHYorKpiqdSzFV8OYFWXLUXILQHXTos8KQGv2p+IepWGo 1ADn4PDQwXuXnPSOeVBDO8MPTS2SxwycGWFXbuIvn9F7uPoCYRKoLlErk16PCt1z2y+6/DT3 fE6a0qLwQVi4oWeUR7G4IOursMQeNF2gmTJNX0v2f2IwuZe37z9tvWHsoXDfP/yPrX0CdPXj LLtaSjRe50vk7V26sNqTaJFB69sGryePyg3S40lZJZsZlWMW9KGmotgUxyUGg3hq6P1ag9aZ vjvmJbHVrkuZWYvbXEolWCuVb4UAfyknKVOQQwuQLzeVoNhI0zZBZiGanyWa6f2MNPAZCLlH Hf3MFH7xY92eakaoj7NFghX0MDydWOVo2olWP7UXEdBhlQVvysB2rKrp7cClEWpYbtX5o+Oa 4Vx8WHG6Vr1L6fO27dq7SRVVmWMMc3pHcOmGqj1Vw70sq/rxgFvz9/KsmoaNfHscHDHpJ9q+ aljL7qbGiuou513O+3/Qrki430d1dWb3S8+P7cB4dX9kjGxvF03G4YJ58NfLr4cfn799ePv5 RVOZ5rB8DsryMsLUqrkUmAQifBAstQ9TfKHYD1TGdQqZYzzEhve6L0L5Spt7WyIF/sR31Nae AKe4xfoTKLyeKK83Ap7mlWXZL4MtfX358QPWBWJRT6iUsjJNSQayEWB5zvutVRY86rtTEFVV VmGmGrgLSbPNEq5eX5XSqn32g9TK+nTJYmrRNlflutMjX600hPxmwnT+24TiEbbRVGrqvheh An6NssooLCIiirO4FaIXeMLgKXKcy6VI6tNnhbJFRXs0VspszFJ3mtxhKTWDoU/6VhbwmbUY gsLK8cz9pDArMn8k1xpyWcUK6evfP16+fSTH4sqVJNkMePmFvBh5g4OLVfBJboaTUilinyq0 H53kdx9NPeLRXeYKJS4IY8+KIDON2hV93mgu+WrvynvNuC2hPH5zpq6iyclExLAyRnHdh5so tGpR91karlSiz2tYFLjxoYjHOKMvbcpWWD/SnVoKjcYyOmbSjZE5dmdujI3jCoFkrFwbki9A k4Ux3V1Et0ybeezuqJcba+5st2PmOMye5kpKe9IYoAh05sTbW1MxBuC6zWMGUkkoiKwRMpRF GJgOy5bjJKv68kYl395rFnozYUmZSEEkcfr88+2vly9rM3m+3w/VPtd2GWQ7dUuYmSkXMrX5 mbO2GXr28XDY0lP83/7v87Qb0bz8etNKA4/IBbW4INgpH8EbUvIg0l1o6lhGb4OqJP9MbeTc GKaKckP4npGNT1RKrSz/8vK/r3o9p50SWDU0RlYS4Y3DV9zCwMp69M6WzqG/HxqHtA3WU0m0 zrgBqimpCmRe7HgiNHtPgSiFTmc4sgPgWqg+83Uwc2UJa747WaaZR6eaZr6j6pUXuRA/VV8n fXwo6j4aH1yHipMnthLlx76vNeNAVe4MZKeRDmcthFGP/sMQ1+a0SYPNywKWwiO8BqRLq/yS bYJ4eXyuvPhCmFLcIDRluBWFrt9Q5/HUS0lTntfiHHh+bMuxJxKPlmcuuTZTaQh1cjMT+Jbb BdaE0hewIZwf374P0otqXm0A+qGoCR7K91ShZ7gcr0foP2jaa3uip46lnnhNjwzvNPfBpQ88 opymXP62hwzKs+y6O1awMM+PpC/mOU28sJVqNhoGEjgQ+MSqec5lBy0Txk9ITWgzhfEeE7a7 UgxiL6SSXdOFZg6qhgG9BlEpDoV+pjiOnG9lFCOMKmM9hknsivowU4rITwLqoElpBD+K05Rs njRNNmT7wDCM/JiaSzWG/uVWoSCmbhOqjFRV0RUghnxpINt4NLDJXOWI6auXy8vebMOIaBqp kG+IUSzGP7Z7sImIWW3f1eWO8YONDGPsqV+7Oath3EQx1RLlZrOJlVFtTO7iJ2iR2jpWCqfz mAPhlaV9eQMlj7L/noLnlmnkazqwhtBD/UZpfC+gvvk6Q6mtDiQuYOMA9EBfKuSTcc4UxiaI PPrhESq6FnhYMnyqSAAkgQNI3dk5wukunMO4XiAeOhLnRZqsd8gFo4m3qNqDhl7bRX/MMKoO USX06KAFab9lip5jKTl63iHk46Unu7GA/3I2XAvjlrmT2HPKt/LMKnkSEMXCWNAB0Zkluh3l +sbUjLH4EZa1tDW/ZOCelxfv7GTFZliw21NIHKYxJwCMOEg03G6ERcxxRB3BBvd17GecLD1A gec0eJ84oIPR0QQUBn03SMIHdkj8kGhvtm1y1fueIu/1ADkLAktXMbGtlofFMblzpgySih7K uNNI5fuuiNZqCGrS4Ad09PKatVVO6kkLQ3xBiJlQAqkTMK89arDDzZzOWauUUChi8nVEKHDY Xmic4F4GgaPeUZAQA0YCZJFQtyG9FqiExEuI7ATib1ypJgl1uKgyNuSYAST0U1IbVygJOeMI ICQ+dQKIAkd+SWLu2VGczZ1mglJvyKHcFH24/lFv6stQ7fEzYhd9LIy7sgvQ8yDMktV0q3YX +NumWFQfu3BDCnMZtThYRk+jGgfepCktjcmR36wqEwBnVGIZNZhhAU1KqTeiyahpoKH7CeSu 2zULgd6mVghxEFIXYDVGRM8OAqLOrpb5UtjHE22CQBQQVW3HQm6pMa5tZi54McJ7SrQnAmlK NCkAaeYRGhoCG48cqW0vnL2vNl37fBmvj0P+WLWrnww8Mtlo7dc7PVHND/HtyB2WRTMD9MO1 lgecmm9AHP5N1RiA6O/19ApyELitThetqqlgeiT6umoKP/KIvgQg8B1AgntIRMUaXkRps4Js iCEgsW24IUoHGhiuJG9Rlik8IL8IAgopq+OFMY48jcnSNgn17crLwg+yMvOJaScveZoFFADN lQVkt7E2DzzKCaJKUDe6FHkYUENrLFSXbov00BQxOXmNTQ+rvJUSCELofHR9XQqUyKM3UlTK 6kcOCLFPjEKMXVL0R1qzBDDJkpwARj+gVpCnEd38UtU8Z2GahtQOsMrIfGKdgMDGCQQugGxt gazrgECp0yweKQMQnZO0xDIIIHiTDjtH7oBVB+oW38IRW9S/3zFGX94KvKoiNjzXV+Djo+eT a3Dxfcr1y0xShC5i8ZYbmfDM4bB8Y+irj2qtmVQ11bCvWrzpP91ixNVp/nRt+O+enaa1VjLw 88CE9z8Mz6Jbhs6MspLm4/vuhCEb+uuZkaGhKf4OV+L8kOum9hQTXT2gn1oydOr8wP0knYUk mRgj4eoIlKDyboW7DdGyOu2G6r3S51ZHHWsR0OP3xbft2+uXB7QN//ryhTR7F/FVeFdcy5HP 6Vi7dmIUAzWMvMud1JBCpbOcUa2m9R9asfDKNzG+JTgWeGWrgxG+J/Ohq06fQxHlnVjKfV5D Yt3mWIC2O+dP3ZE6als48iKzuOY2uZcviSzQUay4RgmpwZtmwsLMjSzCYRD20dd+qKbHrT49 v7x9+PTx+58P/c/Xt89fX7//9faw/w6N9O27doY+J3lLCscnUVidAFNX/fvXe6S26/r7SfV4 i3udpr7XU6J2qzj4Inl3+7g8Q2N0W2J8aGIlS7VE0rJ4YVHnn8va084Bjfe8ZEPeNT+X+Ygu 6aixJ89O7fSm+DE28MzYgCfNVEaw6DbzuZ1/yKjka/Urz0R+06EYVeX8gh4nCATa90iI8+L9 kQ0VFlERlqcc5g6YVXRxzRq84TdJb8eOIE99z3e0Z7WFCSjMIj0xsfGaGRnzHsPDwZSle2uA BHZs7At6JCy86jh0c6mJcrBtCmkbZcddTk5ZkZ7zHcwLWulYEnpexbdWGhUuORyZijm4YSXR 9gzqaaWFsiXMYe/wbow7oX6wsx/OUudgO/TrrcdhrSLbh1La5D0nrTnEdoAfmoVoT9h/RBqJ J1vJ6FpQFZ25bos0iKw+AzU+dj2Bkawms1IrL8DCdJvabTS/Vu+bS5aYj+HCwTFRTBqw3iwg zdLUFm4sIQbKfTZeABjqVQ/r15D2kCFHU8WcvdyyDQYPc8NF6vmZo0LohyUP/KlIUjHi+W9/ vPx6/Xib54uXnx+V6b0vyGmPXWANfqaN9I3cZwNFV0a3PZiC3XKjOqQc5T3N2bbvTtGBoZV+ 7gR0HNpxzraGDyLSheS2aHKSjoBVTXF3/L//+vbh7fP3b87gic2uNHw5CIlhLosyPFL0jY0q oaz1cUzGZxUP5WOQpZ6lmSEm/Lx75GG8gGebXqMYhoXKTWb5gd9h7ICSdmEiyi7MZP6fsmdb bhzX8Vdc5+HMTO051br4Ij/MAy3Jtia6tSg5Tr+4PIm7J7XppCud3jqzX78AqQsvoNP70NUx APECgiBIgsDR/Aahi8AdN34goQ61BqT+SGmE0qetPdp3HNoLdF46Yu1jJ2M/7J2L3DR1sAzW tLpuYzC4eBbTrUM0lFw7nsFg4VJZfOxYczM+NyaYk9ex/hwCAebj+HH3gyNE1qiTnOJ9e/uz hLixoA9ODdqi2ZLOxVNv+0hmBB8QI04R3v3efOs9YWswMzdHUnMqNK318Ue+DOhzaUT/wcpP p7ioEkdkVqS5SYva2fUoqgst79gEXJhtEeAl6XwpZ6bphNRDLQekER7NqWudHh2tPbssdFgk gGuKch0ZwHap3U0MMOvjYV+ggydnbh2O1rEOGfzZVHtHQvpcCCbU9F4WxVIu6Sq+nUek761E 6o5IAiZfMehAns1XyyOpzXmx8Fzl85u7CAY7MAq747GWXAlgWjRwrfeIHR9saDD0tzNbA+Xk BeX6IRguHnAom5yaL31voYfaF+5e9PleH8/XaHn/YIOCrj2rl/KRCUEcLSnoWo/tqsCthUon gdmqBg0b9nP2kj9gWJcY8aFv86U391wJJvDb29wPViEpFnkRLkhXTcmH4SGM1TlhIDs+E0/i zC9Yk32qSnZ1EYT99tyRD6JHh761jBoEC2Ms+z08YXsAZr2m8wcIdJysw7l7xoKxGCw9YlVX YwO57LtpL77D80ctePIAkk6BFELm4z5Uect2KUWAYeM6EUOz5J0WUmyiweNScVp6lQpWiZ0U +bHzGhKXG2I0JhoWt1G0XNAFsGQRrim3DYVEWqhU22yLV8EJk/NqyYQBq/B+MD1JjOoxqGEC n2ypwPjkULISLHnVm3TC6XFiJnjG83XokZ8ACjaiPqNwqJ1XZCMEJqAZKVyqrzMSSege2Mpf wbVxSCdy02mWqyVVtGKfEIUjdkEqKI0mWs7XjsKjpZ74TUdGa0pn6jRrz904NHzeL2DhGJPe SCJVk0lF37NqVMKi+xmyKKDfOypkdRQt6G2MQgRWmuN1oU4UvNsqIFq820Mkui5npi2pY9aO cbQfmtokMVvPF2TJtlmp4A5R5NENEqjIIZoCub6ukBvG6w2GyqgzI3kXBlGiqpxMTaJKNFwd N/UqERqw7xIt/SW9+mtEtM+SSlIcAgeDBkv3nVp4vsPj5+uMBOtt4cuUxRRuMFlJXOAQN2mP BqRQKHYt0eSrD5JNsndERBD57p7pRrCBW9NLoG3rKjhp21Io06RrYjOjBYaA0i6v8swR07rB iFVxlRgZgXX8IYvJjL1xataMkLJq8aGz9hioSDHUH2Ib0lAd0f2pvnagjbXsV2FASyiizcOb ESmyHHU5TyOkc5I0LCv5niXVrUmmNXBqHAUGEzRvVYtxwG6S5iCCXPI0T+Px8Li4PDyeByP4 7e9venThniWswKjmxF2HQchKllew8TlcuReRlEm2y1oM0n6gmC1pGoavyN8riSeNiyVDYBF3 FeK1JdmvMSiIxZ6hjkOWpNVJi6jas6sS7z+02N7JYTMIaf/0/OHyMs8fn3/8Z/byDTciytGy LPkwz5V5PsH0p5AKHMc4hTGutaMxScCSg/PZq6SQW5ciK8VKVO7UhxCSou1KtUuiziItAvin s0FgtrelDK6tAhmGqzbK3XRbdGAgoIeC5Xklt4fjI3ubb4ocKxFQLa6ag4NjohbtLEGUnzx+ eXw7P83ag1LydAkOw1uAtiPnBiJL8rWy+IwdYXRYDZOW/+4vVRRmhRRnqjgoXBemJMXItxxm claVp7ziHDOpqgOPVF2e2sM+9pjok6oTxhsPyYA+lOjnx6e3y+vlYXb+DqU9Xe7f8O+32S9b gZh9VT/+xWS/yGk/zkbpkPN8fnr58uFhagzGa7CyvfRy3HnSI9OUbwEXQkaOgUZFan9JER+D 0D8e7Qp6xMmxgulEwHpnDW2xNNIsqnDzU1P2SNaIkdZDbPYg55wf8dkGM32qZ7ADikV6M5VP 8D/yyZZJEzsK8FakCTdQdEV78nyy9vhIZ4kb8MVau+Sa6oT15mDDD/XKU1/QqHA9OtCA2dVR zWlHxIGkrA6wtOCflBvuQNW2SEA0tW0Dz+tsRFXDKuwTA7Vdex7RBwkHk62o2tRG13F7AIOb wCS3mAeN5H4GS8Du7tRe61jSHhbaq8WxQZ+Wnvo2YeREGu/LjDPJMmIwyLZg9xxPqFQSMtr1 SFDe8ZTgAOuWS1r+sA8e9YJlZFEKewii82nsLyMbvMsj/T3WgMiLNFg4QhCNwn7Mfd/nlAvv QNK0eRAdj4Q4wf+w6aKq/pT4IXklgQRCbE+bLtmlrV6oxCSp+o614LKuxph7myAGEyFPj3FV U7rLxFOrmELOuOHyLt3eLn/en7/+C/Xmr2dtlfnNUKSGLgajxgijJBN+vXx+E/GCHy6fH59h 2Xs9Pzy+0DpZyErW8FrZuCNsz+KbRnPI7m3VOHvX1JUvJpTUYKJV9y9fv+I5tlhxXcYkrkxz X1GM/aJzGIMV9/AW3TNOJjS+q5sUTIxt1hQYa9s21gJjDzbBCTtWwMFsrGrTyBSYpJB2WrYj yxutQvJDvnNLmi6YPGNldSqSVguhOGFcS/08n3YWSZMdjF2rQjZax5LK5P5kPItUObl0kNYE +1pFU5NhC3SdUN/NqKH2JOj8fP/49HR+/Zvwc5E7u7Zlwt9Aehw1IuZcL3LnH28v/x5NwT// nv3CACIBdsm/mKKZNf2ORlqDP3BKPVzuXzBO179m315fYF59xxjGZ+jE18f/aK0bxHi4fNPB CVvNQ2sTBeB1pEZV6cEpW879hWayKJiAVsX9SPI6nJMmTT/9eBh6kVljzBehanxM0DwMGNGO /BAGHsviIHTbl13C/HBudfq2iLRXfBNUfSXb7ybrYMWLmrCCMT/RadNuT4AlJeznhk9GZU34 SGirYM7Y0orvOARrVb+cttNqaebmFz1ZzW5KcGj3EhFLj76AnCgi8kW7xG/aSH8PPYIX9Dng iF9ew99wj36j3Ush2BLQ8uWKGDjGVvSjGxVPjLi4C1rN6SPiYfbVC99xH6tQkJmMRjxsCOyJ ehtEaiyiAbpeq28YFeiSaD/AHVbUIOzHMNAntyJSKLRnTaZN4RKcW1krKyy4i6iPiqKeXZCC e3m+Mg1WviNwkkIRUUauIuUrWvj1J9oTIiT9hRT82uI/ghf6na+GcBxpDjTrMFpvrDJvooiU yT2PAtMdQWPyyFCFyY9fQRn9z+Xr5flthilPCG53dbKce6FP+T2qFL3S0Kq0i5/Wsw+SBCy1 b6+gDdHtYGiBpfRWi2DP1eKvlyAN06SZvf14hrXY6hjaBgU7Br4ZF2dIzWh8Ko2Cx+/3F1i1 ny8vmFvo8vRNKdocilVoz8ZiERghEPq1nvQQ6TvfirwQSb/zHEwWd1Nk1+vMbODUNxOn2zTD eaZk14/vby9fH//3grsFwRDLBhL0mMClVlPhqjiwLHw9u6+BjYL1NaTmGmWVq7oIGNh1pIdd 0dApW6zI4BA21YquoWgD7+hoG+KWjk4JXOhqGGCDJemqpBP5oaPjH1vf8x1VH+PAU59u67iF lg9Rx82dONhuw4dqWCEbu7JuIXpsPJ/zyHMzA+fokvSMtgTBd/RrG3ue7+CVwAVXcOE10XN9 mbqZtY1hAXQxMooajsedDma1HVt7nqMnPAv8hUNQs3bthw5BbWDNoK6AhsELPb+hTlI0iSv8 xAduzR38EPgNdGyu6jBKt6hK5/tlhse+29eX5zf4ZDxyF45q39/ABjm/Psx+/X5+A034+Hb5 bfZZIVV2i7zdeNFased74NI6juPtwVt7/yGAvk25BMtRC24xwV2nRDgZjsY5LIx6wkMZeoDq 3/35z6fL7L9mb5dXWOPeMGWws6dJc7zRSx90ZBwkidGDDGeW0ZYyiuargAKOzQPQv7mT7Roz wNqb0+b1iFVdB0Rlbehb55qfchgpMsDFhDWHd7H35wExvEEU2YLgUYIQ2CIjxpwSGc/ieuRF oT0UnvTo1Xon1jhyJULsIeX+cW0W1U/rxLdaLlGS83YDoKKjSc/seSA/t1oqwa5jXjmeJntA ykyJbzksQgYdTAHPvljB1BbMdw28ZKhY/0fJbGe//sxE4TWYBker08GK4AQAA0K4QgMIcy8x 258v56vIeWQsmj83WlEeW1scYVYsjOpQ6sOFMcLDvdWGBscWeIVgElpb0LUta7IHkdltcQdB 7ZUQmcak2g2XK5PzSQBrk+ktgNC5bzoRiPN8835BAgMSiDsAQh8aukEe+eOtcpWoUhb3atkp XzhrI1PGJbsCn4SGNksC4cgn90sthzrLl9e3v2bs6+X18f78/OHm5fVyfp61k7x/iMVikbQH Z8tAvmCTaAhd1Sz0aDED0DfZt4mLcGHqwHyXtGHoWReDPdx11dSj1eg1EgwDYUoIzjjP0Mes ixZBQMFOiXmr2cMP85wo2LeummChXq7tq5OMJz+vYtbmSMMciuypjSou8KZEuliFvr7+8/9V bxvjc0NqDZ+HY1bj4e5cKXD28vz0d2+HfajzXC8VANa6JVYavLb2Vu4LOYVqbR8n8TQefEuG y6LZ55dXaWSY5gRo2HB9vPvDJU7lZh8sLBlEKOVN2yNrc5QEzGAfuqnPzctkATS/lkBjMuMG NzSFnEe7fEEAzdWStRswEU3dBlpjuVwYlmp2hF32wpB8sasILLkTl8BGo/ZV0/HQmI6Mx1Vr 3ofv0zwtR7etWN61YTyW18/n+8vs17RceEHg/0YnXzb0uWcZWrV22OHcD+gXOPZtjWjc7vX8 7a/H++92Tke20/ww4ScGhCBERWBaJWOZAKgBcxEgXlGaBcpEyo4yecb1Ivht1dwYsEPGdEC6 3WZxqqU8F+83d62ybzzs2Ik1GwsgHKt2dSecqqZjKEDy26zFnIQV9dQ2UfOQwQ+ZqzThmk8d whNgTHccsqrTJfXRwwujSAnlab5F/0Mdd1PwPiM59Q1UWvD21FZ1lVe7u1OT6kFzkHIrvADH 8Em0vgI6TEl/gr1rMt7qujpR4+Gt3py2Nfp0aFhBNhwoSfguLU58j9efFJbDAI2GCJ4a9ie6 M1CZ1nGf8p1MdA9mHWlK9wQ8y/3l3OSbyAZ+rMVx2prMsWZRLbTz/WvNlLZNU2g+B8MBrwLW m9SwJCXDjyESpiWIt842CTup6XAVcJzdmJ3uMfjkrG4ba9VicT37Vd7pxS/1cJf3G/x4/vz4 5cfrGZ0NFD0nS8Q33Cpjfq6Ufrn+/u3p/Pcsff7y+Hyx6jHbfkqo8+QJeern7ejweKV09euy 6g4p61Ru9aBTnu5YfHeK2+MVf42BWD4UXJDgIW7T7yGNLgqy/j77a8fppH1K608bFt/k2W5P up6iLK/VpDED5LStmjg91U21SX//xz+MSYIEMavbrklPadNUVFyekbAXq2EeP7x+/fAI8Fly +fPHFxiCL9b0xa9urXJtGqdfo0YAPFS9AkYkvz1tRVQnSVVtMLM7v0YI6ii+OSVsZ2mNqbJd 5xJGWRap7wUqr25Brg4YCa5hscx1SjVH1nPY5Ky8OaUHpvpXG0RNV2KwrlNdqBOAGAF9ZGB2 fn6EjdXux+PD5WFWfXt7BHuEmOaiqib92KEH/RAWDI0vz5YnwcGBxidpUFJkFDPxRKHjdVom v4ORZ1HuU9a0m5S1whhoDixHMpuubtK0qKe2gVlr0aCJMPRh0/G7W5a1v0dU+zgsuWoXLALE 8TxDmeoaGbfQJ/h+jb+6YB12jixnAglmghtZ3O62rvVrV7CFZiEDrEtya13gLqVR7NguMEv4 eMx1QM1KYSJqSr0+P1+evutyJAhdT98o3d0XopaxabJklxINmDBaOybzffP6+PDlYlkR8h1L doQ/jisroaLRILs0tR1pW7JDdjD524OvRGsUHavivaEH4qyBrcvpY1oYS/+u8IMu1J/XCUtK 3FfCX446DpvqKC5gzQ93HR23RtiOYhF0lJge5UMkfD8GM4tTA1M1mLFezJMTRre7MagwS3LD ykQ4IYrh2b6ev15mf/74/BmMqsR0t9zCBqtIMFXEVM52I1+B3akg5e/e6hU2sPZVoobPgN8i suUh5cTbK6wX/m2zPG/kqyodEVf1HdTBLERWsF26yTP9E37H6bIQQZaFCLWscZiwVVWTZrvy BKo0Y5QZOdSo+WEiA9ItTMY0Oamr5xY3w3G3MeqHHZWWGBtgRZWkvVWvl9tmuWhnm4loxfa4 /nV+fZAetuYWGtkmRN/oY11QXlhIfQcKRT8NUKHWILMmNopmsE8AvlGKUAwgb02GAy/IM3xA dSg/WoUWoDSO55DhO2pHvRVvAUp0uNX5y/1EBLTSixUbcwJkht6YEG5n64nmmnEJVE120OtE gP50bQAO0TTUSgTinSqy1Vwf3CzSffZ70GnXUve6gM3TyFusIuObmDUwBSvUP3pmbEXChxys 6ncSeCrg47TMOkrhKlR3vM3A8tAnjsSZzOjBtPMMMktsE00OCqAzqstE8d5ASipqkFh75wdU kBCJ06dXi3smu4AxdnEeU7GzBiKT1wh8p+E8NL7hIU56Fzc4OxhZhjRsRvl44yzOmKkExPNW 1OC4h4q37g9PIglCDavgBjSNwbAyrUCtZ/p8ublrKqO6MCFtPayhqpKq8nWl00ZL9dAWlTLY SLAWG8rwRvtdF/o3MEUKc63tYbB8swI3J5pNqSHjDsxp2riFcnYpLB+OIS143G119SaNV2XG b8B0ObbzhaH5+8g7+nxLYWKVVWHMwg3wyFCiPUw809gZK8eAs9WptL2cMsXx0o26ZBZdXfna 2TBp/4gVdHO+/++nxy9/vc3+OcNZ1L9Wtk6BAXeKc8Z5/5hebSzihicERIPGqWYWYOFv2iRQ L2uVL1W1qtY9kcjYPlfrn2LTEd+LRHokuyeajzDlTrdgEV+thrM9axjVDZbUUaQn1dVQKxKl xBSh2i1DKV1tUV6EWkIrpWy0kxtGF03F1bDrt+I1TThnVAOlaYdF4K1y+vXzRLZJlr5HuzIr TWniY1wap9b9FHhH0Id+gRWGqSAU8dwnhXIiClu7Sv+FOeY6WJNBF2iTYkK5LDuFJM67Ngg0 xy/rRmb4jFddqflQ8FKTRzGv91liT+K9kaQ0S6YUzG2TlruWMlmArGG3U6e7vbrlwUL6ZXiw yvm3yz1elWIbiOQI+AWb47tNurITi+NObOT1WljcdEez/QJ42lI2mkDXtR7mbgRm9CGhwPOO WncFqoM9VK63a5PmN1lpwvDMZ7u12J3tNmlptFejwMslPRO4gc7g1xV8JVJwOpofV92ONXpT CxazXE94LkiFa6K7njrwfUoxCCQwqc0O6YlvvIWe3VWg5YNAx8cgbLuqbDKuv2cbodeYlxb8 Kjpn9JWWRKZxRa1fElnpXEs/3aQWz7Zt4Ah1JGdJsckaaukQ2K16eSggedVkVcd16L7K21S7 ipGQa/0+wIYoT+gQvKKmdhmFLpmBfhKT8eYu1QFdjKdesQ68ZXmrvpyUjUlveSUTWeituGus S0cFncXakbUAtQbgD7ZRF14EtbdZuWfG9LxJS56BuqsMeB5bOdcFmFzwJaasDoZoIB9Qu1ml 9PBTQvlmaBTwo1bYNsK3Wx3YdMUmT2uWBIauQeRuPfdozYjY232a5pxQUWLjUIDcUXa0JMjR 8rW/u9uCfUffLCFBk8pJ7Co2i5sKk4YY6qnCk/r0zoB2eZsRYlmq/gcS0KgvgRFUNeYEyjA6 bYnHqTDl6INLQZOWwJfSkX5BELQsvyvp12yCAJS3sVfV8aCgkLdGGiqT5o6312ZK3WRg6eqd bnC3Ys4f2GHGrDVZAesHMMhRNmcF78qd9U1aXPuoUkPQiXegttyJrNRmni4V36bM0JAAAhkG 0yM1lCQ0sc714z7R3+KKDsQ7A8ZJLxRRZMGa9o/qri936IsCJfoEiyBt/wpkVfM0dQtDuwcV 5VqQ2n0DG+ECjFXV+0GFaspCaGg04041Dw1wsP2UNoYO+z/KnmW5cRzJ+36FYk41h94WSVGP 2dgDBVIS26TIIiiZrgvDbbOrHGNbHlmO7dqvn0yADwBMyD2XKisziTcSmUA+bgOWpWZvbuMY o4FYG1zFsD+sWKwEh8nSoW93IchyJkOWed/q3WE9XnECI68D2l92iS7J7RsqBVnGdY1gh50X GCHKdsknaBlbxGkYy9l5TE90S25YAfX1m9X0Ji163X1xaGEixeI8JgscfdshtFqUxmU7Ftd4 7Z5E7VuAogloAZkUoJmeU8QkicJaZ8YiWk+Sx/h8an6/3xuBckVMjALPxoDXOxZqGJ1MxvdX v9vvgW+zqN5Ht10wwE5Z0X0EcbxHUTBkCBH5wozPEjHXeCaiN1BwvI9LwWfjiF5sohwtLJeV LCsxZVYWHliZxORzakcVxlzkEIwq2PN7zDp4WI8GnouR30aFSIkymi7l2VwmNPxfV0WnQx49 sR5P7xc0f+ksFsOxiifmcL6oplOcKkvrK1xZcia1DwU8XG+ZHhLNpDCyOKhwmIV9xMkgrgNZ e2Glj0Q0tMmEFviQB4NblyWBLUtcXJ3lmYkdrUgB3fDE7EFXP3mfpq+Q6uA6011+ZYBjnjvO vBr3ZwMLBz4eIzKy+1nfKLMbmdlcY3NbZvjgeO6VdvNk6TjjZvRg6FhGoRg3KyqWaP+7Wlyp DMsTkRxTKR71y7xNd8ee79/fqWsMsXGYfYJACkPJ1Yq/De3fluk4D98ejt5/TERvy6zA54bH 5g0tfCen1wlnPJ78/nGZrJMb5HA1Dycv9z87Z8D75/fT5Pdm8to0j83j/0ChjVbSrnl+Exbl L6dzM3l6/ePUfYkjEb/co7UPHacoDZkR6w2gcT5KXKDzhnDPr4YEFSWL6QnJgHsy0hjz9GWA EHGimOtAIHYZt1cmKLYBBqa6Ul0dYvz9Ikv6lZI/319g4F4m2+ePLjfihFNCgfh+tINky4Kc j8Au0Ql31AlpvH3/+L25/Bp+3D//Aky5gWl8bCbn5l8fT+dGHmqSpDvhJxexHJpXdIR5NFe1 qAgOujgHjYi0L+mp1PEgymC0vD18bn0r7knQqO0GjkvOI1QkNvYzk+0wAkBECfAdN1yod+8K cMxsJMIBoZmZXeu/gakQfbe2qKOU62pES1CO1hfOnZgxCwdC7YdIVIuf6ZKN5XvQ2+Z01MsW 61I314L3hYdSv4+V7TnyyD6lSbTNSjPLs4ofHxZd+DB2t2Bzyl1OEgljKGMOQ3GNYZx9ZRiL i0CzHnErDNIU6tdELQJdpxs4tkG9Qsv97WjRg2QI/x1JuwvRu1HnSnzQAoF0XWBcbPtCym6D ooivUOARZqk12nFYfOKM28QVGt+aSx0fTza3ZtvugJJ6TxNlfhNjWbl6USgewf+u71SGELrj IPTCH54/9WjMbK6G6xHDFe9vapiNSNqCGSrCLsi4vIPtV3z+4+f70wOoa8n9T8qVRhzLO+Uq Yt8GCKxYFB/18lH7qI+aZlIGu2Omqxs9SHKD9V1vmD3iJt7UUZ93rrRXa0bQxkrUpqZlKNfZ p0qEhmFXtBKd1CY3t1Q4KLV4EnIJbCtS1PtDCnrdZoNmXK4yRc356e1Hc4ZODyqEPkOddEqw 3m2BUGs3OnHP0v68CrQoKULIOFL1INSzK+wp1mLnmuuQXW1mkIa+780PpP8BEuyj0nUXxt5q gRin0GyuQC3plwcxbNkNlZVLbOStOzUWa3hI07tebFeXKzl3+o5do1FKxrWbeTGpNQaZNpjC oY6QbZuUe5aaoIgARSMQP6x5VJrQYh/G3AQejswEac+aEtTK8KPLCfhzM1I2OjhxJtN017SH nihbR/R9ska1/ytFRYy6TTRJyFHsCYjBHD42Z6THbGDqa24fsU19Ta4bqHaxTY1TiEZTq+CG Ce05UisZv50bDJB1wnyyD6pvj3F+6HelYguVuxGAGicEj4Zo2652gh1fGZLNYS9it18h2RLL UEMPQ2GoZqzu97D1Y+OGUwLD9ZY245Do22jNAvsyxcvpsQKmMaDPp6o/l+/ySOPqAlCXLKe2 gEQemOr6hr9qxrSXDgEbX63qVYhsKUt6z0qSXehxbsYNNGg4xkN2jESe/Zotf741vzAZA+ft ufmzOf8aNsqvCf+/p8vDD+qGWBaP8f/z2EOBbOp79FE2UPbZUa0z8582yOxJgOH/X+8vzSRF 1ZVQVmRr0HE2KVPDyI9qiqVEdRmjntU69I4ujgDF237jdSE5QKk5IB08SnkZM+ohCy+g8T52 WGfidlYYxqltGKC1/VFVIRLvoSxLLBqCoFwXKOfvUZfa3aL8vN9GY8MhfOseCc7ie5FUcjpq pQDTK6jDz2dX8OOUYCoWU235angNFTrKySqQtjzIojGYy3Q27gOASTO3FutrEexaYJsEb9Qu PaWpCrfbw/VUc4/mHIJApk2yNXOcV1uA+6xLtu/WIciO7nhMSs8n8+HJ9wQWYNoqo/9lwvyV MxqrIf3veOn4f9r7m5UuGRdZFqpkADZWrrjK/P356fWfXxwZrb3YrietFcfHK/pYEw97ky/D q+vfVdYjRwm1UerwkI1JKhjnUQfRM9HevX3MFss1pWLLwRTZdEdvaRI3ZCKTjjDP9+8/RMDZ 8nQGPqvv4n54yvPT9+/jnd0+DplcqXszQvfEwoLLgJ/sstKCTctwNCYdrvfFtPa/JeztO61F sZxSbzSSAOSlo2Ymr6H1t0YN1b38DY9gT28XvDd9n1zkcA6rat9cZIqbVi6ZfMFRv9yfQWwZ L6l+fItgz9Gl7bNOyFxa1mHIA1hRn5UBuqKWb8koAa1BR4utG0MzSbHei5K2SgwYgyOn9VIg WhfDv/t4HewV7WuAiS0EDOQKUlZw5WNV5laQwjElxb/yYCudysZEQRi2E/QJWlULx3RpuWPa xJm4K3c5wFtmCj1Jo3aLFWFK3UAqNHGexWtLcwSuJlXFEdXIsYemgKOp/KRFRVnQI4cIEHJi 6WVCVSQoYKKP5K1yFAashuMPH905K9THcYEa2S8g1KBpwzbwO65Or0AZ2ZxlbWm40JMrC3C0 qExvYB3tu1fQ8dJdLnxav+oIVgufOk0k2tPcGVuYqz/dSWjkOfS5K9CVtzSL8WfjoqG5cxNY LN05VaFPJ+VskQ71ycKj83iWrNY8ShGQMmc2XzrLMaaTuxXQjpUZTDQJ7FxX/na+PEz/phIA ssx2TP+qBRpf9R1BElsoCsTtj5JzyYQHJXD2zllcU4yQFBSVjVyelrIEAXqU6S0UYO04UKH1 IY5ELCAdjbkg2/v43hwJmzfSGjpimVC8GpcSrNf+t0g1SBswUfZtRcErsqSQozeUDV4z4B6H 4o7GLzR9QMfUtyF1KitEc/WetoObykEHB0F4roVBVRBtZmkK4foWxIquwxS2O1TBfeYtKD2n o4h5AnufKFUiXKKvFcB9qracbZY+qdlpFDLIN4XxrBgrwshn3A3JzCmXNnaBBOuvnntD9sGa DLrbCOPEuSpGT5s7YMykud0E9TmZDQQHHXs1DcaITeo5HlFHAfuEqhvg/pKqGeipZRalnpZ2 rac/elM9l6KKsdwHDCTL5dSSOLrrcAj7VnMP7iP2W3kNGj+iQMCFAUhPj1rRmEcRG95zP2k3 LDGXzqGiDctKt93QcfXuNrUEVhvmYm7Eg9ZNTT7pCEuzaysWeJarh1dWMD4ZlFsl8InViWxw 6debII11RyKd4GqnBYklx/xAsnDJbCUqxWxJciNELT//mGBwIXdnU/qMCFZT0iShX8XljbMo A4pLz5almAUC7lHsHuA+cSCmPJ27VKvXX2fLKQEvcp9NCQaAi5PgF6NM3cNW6HxSxRo8vf6C WvhVOWBTwl8kV8I7wCGML97J8Ob1/XS+Xp5iBo5XFNQMbbMk3MSc8jQEJWkwBe4/HKBj2UzG AQLdahRBBnPHRfut5tWOsNZvXFy27qOE61h8SRggAabeDmBCt8YLr7yFjgE6p9NK5ehTRKp8 eVK178UtAMZprUOES/MOS6/TbarpWAOKGr5bLMfMnt5CtRFtCQ1jsAEbae1pAUiueqvwg97s FqAb1HGQccnBS4w+9DPJnp+a14vGRkWa6bqsLEMKUCMQWz/3mIR9CICdBuvDZmxMLkpHawyl 2be1ntr6ID821iVmtU6zY9QGJiKXQkt2JeGlJOjiyVkCgUmiXRRY3Ca6UlDjqNEZiU4ZaIyB MsaHirC0Gl5gyAv84ybO6jhL04N4DFJ4GGL0XzBGglIdQgGnV6FApXoecti69Tj34jqrtgdt /pFQvxaTELygpq4lj2GurON4w47aRB9zQUF9KEyM4qxUzSgksIh1lywJNRvQ+js8nE/vpz8u k93Pt+b8y3Hy/aN5v1BPhTsY5YL2S/mslK552yK6W+uOWC2ojjgtbAHTiSy+qrDS8KKOGJtq OVeyWPZsvVtuwGjhJFM4Bfyo12mmO2wdgttI0Fmu2JCT4Id8ndSbW0znFVi8oQbacnfYh1Gx zhIyNWuVtu0amHkUfLW2oYqDLLU3cRtvg/VdGVkJAhYVu5B2FEZcfRsXUWL4ZhsUtqLTcPxC 3OFCEIVu14eytEi+0rhymx7oCzB0yK+TIC8z+v5L4K83XVBYmh5FUc6ula+vLskT0FGGtvFB KTiri81NbCHYHH6LSzi/rtTYkZTo20NbrW9zGPCM3UQlCN4Wt/ZcXI7TrejGq95l5U1kiSiQ WwetZKCjTE10t/7XKaaQ0A7iEE6TILzWaSnLQYNC27mDj3M3WIrdCKOjSMiGkTM5Ckkuty+/ SfAvb7agGZWkEsEAjsbjjUEDjDjJbq8QZMFNCcIDPVGS5Lgu6UlOeXxtUBFtm8OcScGFwwY8 UNdCrbdvW746RB3mqyU/pmC5ZcZ38ZoOItHi6nV5bat0VDvrimgJ7BwP2sHSnGZMIoJWcm34 ku01bB7sAxHL4OqyRn/na/g7XkbpYn5lUWc5HH3FtULw7kMYgcByAdp9GQek+VYKGoHirGUq GZZRltjC4j/Tbhd0hQbIPmLUUdfbEBkaQwcvx0YwAwr+jzDeFv1+2BdQBHyXZNtR4Qf0zIxz ZiI4O1jAFKXhcKgg7LGvBqLbsKS/hgbUhzKmDPVwtPDpSv2Q7YoMQzO3dVI3PSmcTME+qwiv PGmngCw/T/SXuxZDSt78UGwCplSqcYIW6dVXDviBSATYqLMcKrMlGOiI21ZepcmLjKq4O78C UJdYosSj6yAY4jkP1IUo7SxaaikGP58e/qmalGCw/aL5ozk3rw/N5LF5f/r+qumOMSO9MLA+ nncBJrt8HX+tdI1ZtQ3EO/7VjLzMUoh47Hszh+qgQPlWlG4gpeBYyKLFlE4yrZKJRCo1o9x3 FTJ5tz40ooqTeF/VR6ZpbbtbnsdwfOrmdMr88NPH+YEI+gpV8EI8RKpXlgCNjqUJFT9rrESj XCehSRnewlm57k1ijNk02tLvOjja13rIz5xZROX2FgjIKXYitN9AvTaSoOEVWzoENq+Y/Woi kJP8/nsjLFYUx8QhzNgnpHo94mJBN33vEK1/PPDwEljUYUvbLLbnjKiMwre684hAPoI2L6dL g2nhyfvvCKNT4CMnqbISH8tC317ev5Pl5SlvL8G2whWpyGnrZUkoW05XrVWhSgagHKIcPn7n gE584T/fL83LJHudsB9Pb3+fvKPN2h8wV6Fu2RW8PJ++A5if9HeBLoMGgZaxH8+n+8eH04vt QxIvfZGr/NfNuWneH+5hqXw9neOvtkI+I5UWVf+dVrYCRjiBjITr6iR5ujQSu/54ekYTrH6Q iKL++kfiq68f98/Qfev4kHh1dhnwidHUVk/PT69/2sqksH0wkr+0KAbhAS9CNkX0tb+SlD8n 2xMQvp60JFMSVW+zYxt4tM720jpK4X0KUR4VKAmg96KFAM95DqetdoupEKBtFs/hDKcuWdWC gKPEx8jsRGjy+6G/Uh8bmhVVKJd2BUR/Xh5Or517/6gYSVwHIat/C5j2KNyhqtxdUpGLW/yG B3A4T4kvrea/Lb5ljqhzruhTtiWE89+Z+QvqJXKg8DzfNwcB4YvFXM2zNiBMs4EWY30D7/Dl 3nfUN6IWXpTL1ULNk9bCeer76stUC+6cLokWAAq2EjoruNQrfgqMXzXuiNXbYPjR+iFSsJqt SbD5iqBhpNJMHc8DGVrYZ3t+SM16bzbxRlDp4NaKMgrJxso/NdvC4ZsRqaiV4xbtSVyVhHdB cPQvAUyWODSt21fy1Hl4aJ6b8+mluRgHZxBWiTfzreHDBX7hWvHrNHAs3oyAmpGGX+uUwRqU 111D81WoHj8+DFw1wXgYeFpiT9BlQ5FIU33yKELLZcemSvhyNXeDjSXOuvJSKdviaXbRNxUP qeSLNxX77cbR06szz9WdMNI0WMx8+2gjfm4JSwm4JR3fFzAr33c6ZV39AuHWL/Qc9RWD2aLf /QE3d31KheHlzdJTk8YjYB3o+dKM1SdX5Os9SDoY2+KxTdwJjB64+0Vj8EG4mK6cQjMSAJi7 ojoFiPlUeaaXv+tY6p5BESSJkc0wXKxWlOiOp8a0wnNFKU2cJDqMYeLfqaMDd9VCXZ7SvEwn SUrmzhaOAVj6BkDn8HiOeHPaEgd1zLnj0DiWezOXvhYVcWMxICk+6s+n2EoL3b7+5shuEOO1 Dw4Lwy1FHkRwSNBf8LJy1BACZYxFT5cOM2ActpQ2/QhN4bisrI0tb5PZ1JuiITpVNaDniBZN U58Gc3z6Acahz1Wr6VZB63nerelr61dd4SK5J0izj7qcP0K22sHbMwiI2h7YpWzWxkHvlYSe SrLy+7f7B2gDXkXYNpS66B3f4DCdXvxpObKgH82LiIQg7T700ssEZj3fEUH+NIroW9aSqAdA NFf5vPytHwWM8aUewDwOvprhi7o1xkKYZv0GU8KMAP7YkLjADEV8m3s09+U5lx9Sj73flqtK u2AwR0iayjw9dqYycFS3KWa1gN/duSNlA92VyEAPp/8QFZAsX5UOUt6/28ghkDbBQMxZGmvz 2YUgNHFS4+V5V1Pfi0HzGSE1waU0mkDj2ln7Ly2z82lyL7eNbWX7U93qZkB46sKC37PZXD8J fH9FRlUGzHypHSr+fDU3VxCD1ocBmRWQz2auwujSuet5rsHXfYfSDoBxzxauyfygGt9f0BEw r45UP9ePHy8vXUbhYfmJCZDapAgqYYrUKk4Kl5SaMaLsJWRtSWlNaLNDNf/6aF4ffk74z9fL j+b96f/RzS8MeZu5W7lFFNdg95fT+dfwCTN9//7RZw3VbvgsdNJA88f9e/NLAmTN4yQ5nd4m X6AeTEHeteNdaYda9n/65ZDX42oPtaX+/ef59P5wemtgbEc8dp1uHYuMuKkC7oJMYhEvFR6y vSuy2hI2Jc0P3tS3cbt2p8oCgirmo00sUPjIZaLLbe/EYqzYcYcly2zuny8/FMbUQc+XSSH9 xV+fLtrtSLCJZjNVtEDtemr4pbQwl9xFZPEKUm2RbM/Hy9Pj0+UnNVlB6noOJTmHu1IVE3ch ypKVBnA1+0stxG4ah5qD5K7krpq4Xf422dSuPJixc7vjLV7YhH9EmeEPusEwOy55DOy6C/rr vjT37x/n5qUBGecDBtJYxTGsYnvaqirjS2iTleAmreaUFhDvj3XM0lnrvURAzVFBHCz5+adL PuHpPOTVaL23cPJA63GeJj5eGSPpACyyn1DrCd/Ig4TivUH4G6wQTTcOwgPI2aqtcJB42qqC 37An1XzsechXnr5dBGw1p3T5gC88V61yvXMW6gUT/tYv2FgKXyypuUOMGj8AfntqEiv4PZ+r b2Hb3A3yqa55SBj0aTql4un30gdP3NXUUcy9dYyrYATE0Y9i9ZqAnA6FIJc55FrEbzxwXFVn LvJi6ruaOlj4qt13coQ5mzGuMTXgcuoKbyGK2fk+CxxPd/fJ8hKmlmYBObTKnZrongk4jqfM BP6eaUWD4u95ljsX2AeHY8xdig+WjHszR3vFFCDS9ambohImRDoWDR8haEmrxwJH3hkgZrFw jYJmvkcRH7jvLF3lkv3I9ok+CxKiOgUco1TomyZETR91TOaOKqB+g3mCudBi0OkcQZqH3n9/ bS7yWoXkFTfL1YJm6sHNdLUi/Ufaa7g02CrKhwLUuRxAgOHQpxRSR2WWRhjg3lOGLU2Z57t6 rpmWXYoahNhw3eosZf5y5lkPh46uSD3nyhlyF6TBLoD/uG+qfZ3tLDXEcvCHgDmaeKjB2/Pw 4fnp35U92XLjxq7v5ytc83RP1STH0sjbrZqHFklJjLiZiyT7heWxlRlVxktZ9klyv/4CaDbZ C5ozeUg8AsBmsxdsjQaenGli7LosSOKMGTCNRjqD2zKXVSVMmcK8xxxhmVgSz4LcxLQq38TJ LyfHt7unB7AfnvamfbAq6SzdMD41NOWoKhusxS0JPKK0xgQRSY6FtjkftoxUZwxcvoedvHwC rY2uj909fX3/Dv9+eT4eUN/ndoZblEAFCGZ2ach++/34BYYK//L8BjL9MLjcBwPSSBcYVrD1 TU8sGISzT6yjFyxCQ2Qh4Ey/nFgXCeq1nIptdYjtLAzrm55wJC2uJqe8xm4+Im2q1/0RlRl3 kYt5cXp+mi51jlJMTWcP/rb8/skKGKXhfQ+LyhIynLQ1UkysCj2LaRwUE8caKJLJZMQpXyTA 4zjZlVZn57ruI39bHBJgny6sFV7bndSh5vP12Uzv/6qYnp4b6uttIUBpOmdXrTMjg3L5hFnC j67Hx0V2c/v81+ERdX3cAg+Ho3QTMnuLlKUzVotI4hAjI+M6ajfaFkjnk6npEymsmwND+MYi vLiY2Yab4vrl4pS/dVXtrvhlAwijfig2oe0vFOfmXbtNcvYpOR1qgPYDPTo8XUTM8fk7BpD5 fbR9+MsopWTX+8cX9G6w+02/bRelWnWqNNldnZ5PZjZE17rrFFTqc+u3cRQBkAnrsqqBd58a 7lmCTEN2dXKfMDyZ1XM+6iiNsAgJr8NuU0euxeX1yf23w4txa0aJTBvX78cCM5kbGYXl2UBd BLGViEPmbsQcKkHN5nCETR3VeNhbl3mSmHJT4tJgVbRVIcode+mVaOoYJWMwBEcUq5uT6v3L kYJMhrlXdZaN5MmU8HWZdsBhvFY3bSAymRUH8yp7UmDNg7Rd55mghNH4FD/60FqxE+30Mksp VTQXJqvTYGtDH6kzRSAKM20zgimwSyagtruvoWKefyOVCoHHN3p6RUkcp7oui9DuTiIMXZSm 5pY3hl97HQbT8PVQ0sBI5AM/PXfcEJMUvYe+2L/iZXJiKY/SJcWt5jGyfi0JO7PrzNkx4unh 9fnwoInvLCxzPeNuB2jnMV6YMuOyTZweB2E9pa5+ffhywIRcH7/92f3jv08P8l8f/O/rb0Xq U6I63isQemU1TJJiAFTOFv1nnzdoYEMELuF/zjittidvr3f3JCvtKhJVrTUNP9AHUOftXFR6 3cUBgRlrahOh3PAaqMqbErR/gFS5cSt1wPWp2ljsAks0OBH9tZFTU8G8JSF6AvsShI1fehqu 2Nq1PRq2Kt+f+gf9Ya7SKk+lO1XqtYtiqbu/ZExvgYvMOjtEwjZdloom2Bi3bAg9L+PQV1we 8eGCvzvQ5oV5ZSdmY4qrJE6tK5oIkkwwqEuucbLKAnnXw3DDYXlE1kZLc7NoFv6WLNZTBocI Al9dNCt6Tx73HL6DzCfWqUc2BiJYRe02L0MnU9xGoPYImiPYhiAoK91qRFBexTt4SAsoinYY Zm1kAesg7RzDx2HMNRxe86aocut6LoZVYkbOG4OCGTVMqp0F5U3R2eUcGJbOsjJwIHGlI39Y JwroTTg1UMybOKnjDJbLMhNYLcJoXN49N8wn9zp6v0oIQ5GeWhvCbUPBuhnC0DWs+AJfx3lB r5u81jMY4E/Ma0hB2rQ0FwZDokzXHdlWlJmR60+CrTRu14u0bjeG0ilBnKCnFoJaWyVYT21R zVpDUBHMAC0arGasAQKjWkkXCm+KjhxmKRE3Vr70LmTj/puZGmxR0eL3BGYQtdQFjvv3h+eT 32EDOfsH4+mtPhBo7S3wROhN6omgICwqnfqAEbDAshFpnsV1XjqvC1ZxEpYRd8lHPoxFD7E8 IGYj0FXsdVRm+hhbSfzA7HB+chtfInairvXy2c0SVt1cb6AD0cdoBlGULrqy2MaNI/yjFsWg crmz0bcTVzJ5hLwzqL03LzGd89CW4k7EJfiSHr8tFtXUWH8K0m2HUwe+BQ4R2QGqAxZzQiAX WdzY2Ar0DlEae75/jAaVXUmSBC9pog8DeV1OLM//NbdGij8JK7vkMEo9ncfWPlQQvKeOAe2h fKWh0yqS5JaP4O4JsAecn7/HV3Vov1pgD5lKmuoZtezct1VR0JR8XtXhq5p6FWV1HAhTigSl SM3VIiGYtZd3lOQptcjtQSz7orNc+t3fClrjBRnMTFB9npxOZ6cuWYJiWM200w6Muo4cWINC z3o0z5J6ulXAUpp0l7Pp2OtwCn+ilZEW7A9WAzXe+XyU3v8Jbk0iq4c9wQd47INDpAwDu0d4 7cnfA9ss6MClMK6zYkKVylv+A4Q6KG5rneVxoaJ6YiX4MXzO4fh8eXl29cvkg44O8jAiYTP7 ZLigDNzFJ84ZZZJcnJnv7TGX+mm1hZl6Mf7WLnyYc+97zidejLcH5umnheOi4CwS7wecn3sx Vx7M1SffM1fewb0yPb4mbsZF2JuduZiZDcdVjsunvfS2Opmy+fhtGmsuRBXEsd2mehnn5Nbx zicqBJeITsd7Pu7M1x5X+E/HO3tHIXwD3X/hJ74nE08PJ04X13l82fI6Q4/mci8hEnORgSQz CwAqRBBhHY2RJzGTbNToJYB6TJmDgPU0e1PGSTLa8FJESRxwD2NleraWSIePAyxnGHKPxlkT c0LCGAdPn8H0W/OZ85CiqRfamUaYpMYP255qsjiQ5XVNQJvhuXES35JqwvrfDKteRgrv799f 8VjEya22jm4Mzf8Gq19cY7qulgwhTRjJMt4wmUiG6bN0r/zQ1HDmUDZAHhKcXXedQT5GAog2 XIEOG5XCUWMNKrKGO4XNF7UgFb82TKOK3Pl1GbOJNxSl4eDpYB6x2zfeyV9OyCNno+xEuE2T IXDAbuIHiet7ukKwDjzK17ASZRhlkcznH+TFTSuSJA+EZSg6ZJyfAzRsdDRI36Xuz4RPCOhJ rC60ipJCt3FYNPX584f/HL8cnv7zfty/YtndX77tv7+gm9n9xAq21Xp8FOo8zW94C6OnEUUh oBc8++upMA5lnKISCzwEin8wMeidCvNthmGHP6CESbYTNXQ06JVZ2quwBw6+Jt4X6/mSaMOl XFE2x7BD9Hz+8BGfP2Ak98Pzn08f/757vPv4/fnu4eXw9PF49/se2jk8fMRE61+RxXz88vL7 B8l11vvXp/33k293rw97OsoeuI+M3dk/Pr/+fXJ4OmAM5uH/7rr48f5bY6yNiSeAWZ4Z3vIY a4vIFW0WG9EGStIsQBJoJHx0Ed8PhfZ/Rn/Xwmavg70I/A0Fn3Qxvf798vZ8co8Fw59fT+Sq 17JvEDH6Jo1sFQZ46sIjvdCHBnRJq3VA9am9CPeRlahWLNAlLXUX4QBjCV3zSnXc2xPh6/y6 KFzqdVG4LaDt5pKCOBdLpt0O7j5g+mZN6jaMK+LwlCnUoVouJtNLozpAh8iahAe6r6c/zJST y8K8DiMxnjrHau7j1G2sT8wrfZ3vX74f7n/5Y//3yT0t4a+vdy/f/nZWblkJp6XQXT5REDCw cMV0HcAVl9ezR5ch884qZUatKTfR9OxscqW+Sry/fcPQqfu7t/3DSfREn4ZxZH8e3r6diOPx +f5AqPDu7c751kCvrqpml4EFK9CixPS0yJObLgzY3qrLGNOLu18RXesFlvtPXgngbRv1FXO6 YoNS9Oj2cc4th2DBOdsUsnaXdsAs5EhPAtDBknLrwPKFS1fIfpnAXV0xfQXFblsKPn2bGr8Q lPG64cSa6ismw1DjtcKiX57hSoXbrxUH3HFfsJGUKqBvf3xz31AGn6bukxLc51RkkDwURjLh mMlu17Fte6zmiVhH05HplwTudMPr6slpGC/cNc9KCO9qT8MZA2PoYljnmAYydoerTMOJ7sRR +2UlJhxwenbOgc8mjIBciU8uMGVgNagV83zJjPG2gJbdgyaqAu2uORFxyx6gVhocF5/FngUj smYeu1MoysAd+nmSbzHXuxfh3H9VC0JgxrzY5b2BQMvR91BVu1ONUHeGwsj9hAX9dWX9Stwy OpDivAxjjVxqkOmFkQHHhLdVFU3bs0tmKaXusNaRYGYV7EI7r76HBF/kLqHnxxeMIzV05H60 yDnusuTb3IFdztyFn9zOmA6T79+/CrtjGRlUeff08Px4kr0/ftm/qhufXE+xbF8bFJyyGJZz SnHQ8BiWE0sMz+0IF9RcaIVG4TT5W4wF/SKMEixuHKwsn8fo5wrBq8w91quD9xTc0OhI2DBm xItNg8q//5t7sigjRTWf41EFs3YoRz2r+6ODwjZqvh++vN6BEfX6/P52eGKkaxLPO27HwDne hIhOHqlgyjEaFid5wOjjkoRH9TrjeAu6aumiOU6GcCUjQW2Ob6PPkzGSsdd7Ze3wdSPqJxJ5 hORqy22qCNOLOT4LjmwZWTWnXRJRp3aWIQfLmQsDFvt+OmPsDqAIAtcIRPi1qD1fBhiwWC6v zv4KRhifogw+7fS6vTb2fLobec3Mqmw43pmNq3kZvTALIjA92XCXMDW6viSDi0Kn1y4wc/bo 85Am+TIO2uWOC3sT1U2KaYiBAL20WIVieImGLJp50tFUzdwk252dXrVBVHYO3mgIPBuOV9dB dYlRSxvEYyuShnPDAukFyJmqQn8s39SFvKLly/GOvrcobItIBqNR/EbnenbFNt4w/p2szCPl rMUctTLY/v7b/v6Pw9NXLVyVDmx1z3lpRF65+OrzB91vKvHRrsbAyGHEfE7IPAtFeWO/j/OI y4aB12Jh4ar2dm2gIEmB/8IemkRltMnlcEkCuxENP3yiCsL6ifFUzc3jDD+PgtkWSmAlXkmV xFkkypbCgvSACqGiEftmQf3HNPjaGlXh/mAZZEFx0y5KiofXBb1OkkSZB5tFNeW2rlzUIs5C +F8JgwtdMLZjXobsURl8ehq1WZPOjZos8jBFJO47iiDGTLKicFEWmELHYJLbBar8lEi9SGL9 k4gCA/Zgm4Pil3WXJQ1xGACXBoXLAE3OTQrX9ITO1E1rPmUeZEsDWZ2OeUQVkQDbieY3lz8m 4e80dSSi3PLZ4yVeztcAOrf07YALFQCwXi0+nrv+g0DzG7lmP6zkME8949DRWIE7GjSMXDiG aqH6Z1obt1LPsaBWBJIG5VrWA5JMKNsPPZ7IAnP0u1sE27+xtoU+Xh2Uro4U3HbqCGJxPnPa EnrS+AFWr2DzOQi8ZOR2Zx78xnTHM3HDZ7bL21jbmBpiDogpi0lujQpiOiJn4WYQnuIJ+qGi WnRgXrdgU+SGC0CH4sHvpQcFbxxB6ZxhHmhmFoUwb0TSomNGG1dRluJGMidd7ajyIAZetIla IhhQyM+Az+kXUiQIwwxbg/8h3KivllFnZXUz4O/y1oWOo4JxoiDLSteCSlmMrquM3p7PDG5R ba36VUgaGLOHRd2iEri8Qkgn5P73u/fvb3hl8e3w9f35/XjyKE+67l73dyeY+Oh/NTMNHkZD pE1l0OGpg4BXYCgHRumearxLoSt019GzPJ/U6YamOLZntBgbx3omTrAaNI5kAhpaiv6cSy3q HhFg+I5WeqMJmsMCXaWCPcWvlolc9dr4X+uCNMmN22X4e4z/ZokZIB0ktxgkoC3t8hptPO0V aREbMbthnBq/8YoW1ooARcNY2rDc1b7dhFXu7uZlVGNYbb4I9T2hP9PqvmgDQfG4umxXoeXB eiv0chIECqMiry2Y1BhBk8Hku6cDCvVMNs7F0eTMU2elWxP05fXw9PaHvBb8uD9+dSNhSEtc t2bkcwcMhH1hlHpM4Zp0+yNsY9bnIgNBW7CQEtAYk/7c88JLcd3EUf151s91Z6c4LfQU8zyv VT/DKBHmTZObTKQxUzSdp2i9NxRAhZvnaKFFZQkP8BnIsQX4b4MZPKtInyrv8PeuzcP3/S9v h8dOiz8S6b2Ev7qTJd/V+aEcGKz+sAkiM2XBgFUyLeLDODTKCjRaXvb2JOFWlIu2zvOETua0 k22uQaLmFUmbiruCXIgVLhYUPdS1dl4bhv8yBF4TlHHBZgVclDBxdJ2HQsr1xQyPgFjEe5cp z77LSITkLxQVd9S2ArSsCwYbQ+dV8qvA1CRrLo2rVNS64LYx1L02z8yiyLKVRU53J5ss6C5x AZNHaen91CInvUBvaQOsMmt2yOZHZkG+aRuJNaUExzK97IWgn123/9IrjHQMKtx/ef/6FeNJ 4qfj2+v7Y1dVVW18gU4VMIjLa43zD8A+qEX6cT+f/jXhqOSteL6F7sZ8hfF+WJRgsNO7UaiY OahI+m3x/2MDWFEkBFGmeMPRu4n6Bs0YH5JWJELWsKj1fuBvztGkzNFmXokMDLIsrlFRMFYj 4fTGJHFdsvfEg0BrcI6FRyqrKQ8Ul68HVa3iRe32IIw37W1U+i7KIEmTwR4EHgOTPUIF0oCf F4mOsoaPSJPoXm9iL8cw4zoEe6K/jEjYnfJTa99cGHgLLXI4CV7nUgpuF7fVN6bJchSZ0a7G jMJmXJhsBfGkxPnCNPNtZnkFyVmYx1i6jvWQDQ0Dr1y4ryzzUNTCZ8z1q1cSb3duA1tO2e3d NnXY6AlG5G/r5nQHHAoSGe3n89+ioGa2fIcYd6aYpBh19xNklMbKUy7ZIPRE1JpEZdCQHPJ/ AZodRTNy5dok707IlESfaAIzaeaK2FOQDSmcMs86c+tWOdiaCcgZt9MKMzI8Um1uKuG5614F KzRJiSrKwhZ+sqGmsrVN6nZik1Jci30l1qYp5+yjxXKRiCWbJNNc713Rd3tJDmCrbVm+hII8 vd1aoyWH3gn9ljHZJPLSYKVRdALfsO/tVgwaqz+reLmyUlO4U03zgJeRFyDu3DYMtF8arQWy YfdAUGJxo6C5lOUDow5DKxPXIFoXkSxGNAhXgoxFyQ7c1lLxVnE5lE1CopP8+eX48QRTNL+/ SMVodff0VTe5BNYBxTuqRg4AA4wZBxrteFQiyUxt6sFLgQeSDfK2Grau7o6q8kXtIvsPRusJ i1KkOiG9g5kCP3HXS80vgpH11nvZpYqodoVJcWpRrfXlJ9W7HtV/8+zylOv/QPjj7lu0fe87 wu01qOGgjIdmhBPJePlN7AoZn3V5EQW05Id3VI0ZqS3ZlXUPRgJNS49gKj5hiMJm2jbXKI7g OooK4zSnE9wgsdKir9SD3de0lP85vhyeMNISvuzx/W3/1x7+sX+7//XXX/+tnR9hNgtqbkku C/tyclHC9uaSW0hEKbayiQzGmVcyCI0fbncfnZNNHe0iR6yrUpCOIsWTb7cSAwIs39JlDftN 28q4RS+h1DHLLUa3IKLCAeBhSPV5cmaDyX6uOuy5jZVSrPO4EMnVGAn5kiTdzHlRDKpCIsoW 7J5GtTa1+XFH7ZUvWGUWTakkihiJ0M2yjPnpFCdOENLAAW/Amxy0wT4/9ruwnwrd99VvgYXx GLsh/8kqVm+Vwwe8nET3MHkmvM3S2P1oheXcpr2/TH+MjH1YNmDcYFQebHR5ZDWi86ylduac s0vm84e0Lx7u3u5O0LC4x4NhI8FHNz2x50yFeIF5KN3to6X7vfLOmU+FldphS2o/KOKYkdUp 32twTk/nzX4EJYwT1qqmE2IZfBc0rBEkuYpZG7YH+oaAX4v4QAVKEAe3nhhcRoADU0h7jnkd EqFOTm6jXsRNJ8YL7GWDwOi6cr2aem/pcl+7pGULin+ch7qwMMfMsbWuO22vdJw/at8KMC6D G1niXVnIGFqnOYYdAZBRrl1A6QlRUBvrfVrjWPiYYsXTKDeunUKAQbbbuF7hAYGtE3JkYVyi goIOcJu8I0vJnIL2MAjBIsGkNTSvSEneOKcRDLS0TymCrjXZtMWDMKP1rrU+U3YlMAUdHRzY qVeoZgrRG1oA/AFWW+NpG3oh7THWmurcVdVWNxY69QHPathvdd6Hx0IiUfKsWbQyCHA2m1xc 9ZUHlXVv96ZrzV1g9uyjxkcHM8773RXXbwF2uXHM0rPkfrzafmKhub0BzoXRVlxPNMGvJ7Eu r0FNXzBf2M2W/9Ok0ulstC3seqa5vMryuIqY5gbVGT0dw9PMK9M0zq2B7Ian20S2LAZWk4mi WuXuBlEI5by2FuschCys8W5AleNVFxEE7yJ2sL4mPeA52G2Afh75axGpyZYEztd52IeJxSAi PQxUbQDDYK9uMlhH9mtWGIvWZTG3rqfjCyQ7iDNbpzDJaDvzx8KDUNJYxNgBsnqvSOisGYfa WO8SL8cD/zRl5agN1gKpBUjggtEDma79I+I+2x8xkTBKasEvgn71+tvVWCQdU/o0Am0akQG2 tuZrTOjIwSZqOnEYtfkqiCefrmZ0uu/xGFUCa2XpKc8I0IpmF8ZVYR2qdkhtAXlyAuh08oT2 x3QUkOLtolJ/me6strBPI7GmtTr2HiqnO0Ygf/kSHfQ0mc+poToUh2DSMj0dufTeURRxuAid 2aiiAI9uHTgxV+Y9zcp3UV/iNwssxocxzGldeyJ9Hcqw+AeU7YJPnu0Sz/NgNTrgdj7f8XZH 0TJRaxpxN8w6Es39wyCk4Wy5VaU3l9L0xt2ZXtTfD/rr8pwzUSyj0tFnXKPTpYlEmdyoAAgj ZfXu8rztYhFIE2oK/ilPW+F86XmAsrDuQv0SaOdgSuaLpNHv/5A+O3DHofdDlB/0EuPsMKPy SJwQljYktnm6M+s4aQhPQENP0dCfcRrUBvzBHRRrgi5E89piIcYiTOhR0vNH8DS3/s+Xo0QH xoV2QaxoMM8DumJsv2GTbWWWajcUoDMBzTWpxw7V++MbOkzQeRk8/3f/evdVK8GyxncOL6Kf 7qGaBHfCy4BFu45tWYJNYslc8jiLlL8Bg3CoUM1vMnpCszCjGtkJS6gpV+RZ1h8fVAoRJ1Ui 2JgKQMkDTsvRZzXX55Kx2wVdHmwsXpOxmlCxAf5zkApU0nyjhKtx0b0ElZGMHulHpTuFvjMo 1CyBZZnzNADsJCD8ynAyhcjQs/8Hm6NUcLNLAgA= --3MwIy2ne0vdjdPXF--